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PUBLIC DISCOURSE ON TWITTER
AND INSTAGRAM: The Mactaquac Dam, New Brunswick, and the Site C Dam proposal, British
Columbia
Yan Chen
2015
Contents
Social Media and Public Discourse ............................................................................................ 2
Twitter and Instagram ............................................................................................................... 3
Study Cases ................................................................................................................................ 3
Data Collection and Analysis ...................................................................................................... 4
Results ........................................................................................................................................ 4
Total posts and average posts ........................................................................................... 4
Twitter and Instagram traffic ............................................................................................. 6
Keyword analysis ................................................................................................................ 8
Theme coding ................................................................................................................... 13
Big Players on Twitter and Instagram .............................................................................. 18
Network Analysis ............................................................................................................. 19
“Mactaquac” on Twitter .......................................................................................... 20
“SiteC” on Twitter .................................................................................................... 22
“Mactauqac” on Instagram ...................................................................................... 24
“SiteC” on Instagram ................................................................................................ 25
Discussion................................................................................................................................. 27
References ............................................................................................................................... 29
Appendix A: Twitter and Instagram Traffic .............................................................................. 33
Appendix B: News list .............................................................................................................. 35
Mactaquac ....................................................................................................................... 35
Site C ................................................................................................................................ 36
Appendix C: Coding themes (Categories) ................................................................................ 39
This report was completed based on the author’s research assistant work from 2014 to 2015
with the SSHRC-funded project Energy Transition in Canada during her Master of
Environmental Studies, Dalhousie University.
For enquiries, please contact her supervisor Dr. Kate Sherren at [email protected]
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Social Media and Public Discourse
Social media, “a group of Internet-based applications that build on the ideological and
technological foundations of Web 2.01, and that allow the creation and exchange of User
Generated Content” (Kaplan and Haenlein, 2010, p. 61), has become one of the most
popular ways for social communication. Based on the Internet, social media has strengths
such as carrying a massive volume of information (Cochran, Kao, Gusani, Suliburk &
Nwomeh, 2014; Gruber, Smerek, Thomas-Hunt & James, 2015), providing multiple channels
for communication (Lassen & Brown, 2010), extending to available audiences all around the
world (Cochran et al., 2014), realizing real-time connections (Gerber, 2014; Gruber et al.,
2015), offering various services (Kwon, Park & Kim, 2014), charging low cost for
communications (Lassen & Brown, 2010; Gerber, 2014), and providing precise spatial
coordinates (Purohit et al., 2013; Gerber, 2014).
These strengths have enabled modern society to establish and maintain high-speed and
effective social networks. Despite the wide use of social media in people’s private lives, it
also shows a great potential as a new channel for citizens’ public participation. The most
widely applied area is politics, where social media has become the tool for people to seek
political information, election updates, and candidates’ news (Smith, 2014). Recently, many
researchers have studied the use of social media for crisis management, such as the case of
the Oklahoma Grass Fires of April 2009 and the Red River Floods in March and April 2009
(Vieweg, Hughes, Starbird & Palen, 2010). This study shows that real-time discussions on
social media about the situation on the ground can help the public and the rescue team to
obtain useful information. Besides, a little research also studies the use of social media on
public topics such as criminal issues, public health care, education, and other current affairs
(Joseph et al., 2015; Kirilenko & Stepchenkova, 2014).
Regarding the area of environmental issues and resource management, the existing relevant
research is insufficient. There are some pioneering studies showing the capacity of using
social media to enhance public discussion and to collect public opinions. For example,
during the 2010 BP Deepwater Horizon oil spill, researchers analyzed relevant tweets and
found people most concerned about health impacts and many observers wanting to report
first-hand news on the ground (Starbird et al., 2014). In the specific area of energy, Autry
and Kelly (2012) conducted a study on the merging of Duke Energy and Progress Energy in
US. The results indicate that social media (i.e. Twitter) is an ideal tool for disseminating
newsworthy information. Although these studies indicate a promising application of social
media in public participation in environment and resource management, current research
has not shown significant progress in this area.
1 Web 2.0, defined by Tim O’Reilly (2007, p.17), is “the network as platform, spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: delivering software as a continually-updated service that gets better the more people use it, consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others, creating network effects through an ‘architecture of participation,’ and going beyond the page metaphor of Web 1.0 to deliver rich user experiences”.
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This study aims to explore the use of social media, specifically Twitter and Instagram, for
public discourse about two hydro energy projects, the Mactaquac Dam, New Brunswick, and
the Site C Dam proposal, British Columbia. This study will analyze the practices of Twitter
and Instagram as new tools for public participation and the differences between Twitter use
and Instagram use related to people’s online behavior, opinion leaders, information
aggregation and dissemination, the most frequent themes, various online tones, and social
networks. The results will help understand the feasibility and effectiveness of Twitter and
Instagram as platforms for public discourse on energy projects.
Twitter and Instagram
There are different types of social media platforms, such as social networking sites (e.g.,
Facebook and MySpace), blogs and microblogs (e.g. Twitter), content communities (e.g.,
YouTube, Flickr, and Instagram), and so on (boyd & Ellison, 2008; Kaplan and Haenlein,
2010). Academia has not yet agreed on how to classify these platforms. The typologies that
do exist have become irrelevant as the sites have converged in terms of functionality.
Twitter, as a microblog platform, was born in 2006. Its users are allowed to post ‘tweets’
which can contain text, photos, videos, and outside web URLs in real time (Twitter, 2015). A
tweet has a maximum of 140 characters. Individuals, organizations, and companies can
create Twitter accounts on this platform. Twitter has 302 million monthly active users and
500 million tweets being sent per day (Twitter, 2015).
Compared with Twitter, Instagram is a burgeoning social media site where users mainly
share photos and videos with each other. Users are able to create text-based descriptions
about the photos or videos. The description for each post has 2200-character and 30-
hashtag limits. Instagram was established in 2010, 4 years later than Twitter. In 2014, it had
182 million users and 58 million photos uploaded per day (Statistic Brain, 2014).
Each of the two sites allows users to establish multiple social connections within their social
networks. The most popular connections are achieved by following, retweeting (reposting
on Instagram), replying (commenting), mentioning, favoriting (liking), and hashtags. The
major difference between Twitter and Instagram is the basic form of its post, text-based for
Twitter and photo- or video-based for Instagram. According to Kozinets, there is another
palpable difference that Twitter users are more likely to satisfy other users’ superficial and
short-time online needs; while Instagram users mainly focus on the post content itself so
that they may not lead to deep engagement with other users (Kozinets, 2015).
Study Cases
The Mactaquac Dam, New Brunswick, operated by NB Power, has the capacity of generating
668 MW of renewable energy (Keilty, Sherren, Beckley & Marmura, 2014). Since its
construction in the 1960s, the landscape in that area has been changed. The greatest extent
of flooding was caused by the Mactaquac generating station, resulting in the Headpond
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reservoir (Jacques Whitford, 2004). This has brought about controversial discussions
because the project was approved by government despite knowledge that it would have a
tremendous negative impact on the river and the environment (Canadian Rivers Institute,
2011). Many riparian residents lost their houses and land. 50 years later, the Mactaquac
Dam is currently facing another choice due to the coming end of its service in 2030. There
are three options for its future: first, repowering the dam; second, retiring the dam but
retaining the Headpond reservoir; last, removing the dam and restoring the river (New
Brunswick Power, n.d.). All of these options trigger public discussion about economic
concerns, environmental impacts, and other social issues.
Compared with the situation of the Mactaquac Dam, the proposed Site C Dam project is
somewhat different. The Site C Dam will become a new dam in the Peace River catchment,
which may flood about 3000 hectares of fertile, low-lying farmland under the reservoir
(Hume, 2014). The environmental assessment of the Site C was approved by the Province of
B.C. on December 16, 2014 and its construction was expected to begin in the summer of
2015 (BC Hydro, n.d.). However, The Joint Review Panel published their report on BC
Hydro’s environmental impact statement about the Site C Dam. It revealed that the effect of
the project on the landscape would be a significant adverse effect which would be
irreversible (BC Hydro & Power Authority British Columbia, 2014). This has caused heated
discussions and local stresses. In early July, 2015, BC Hydro issued the construction
notification letters for the Site C to aboriginal communities and regional governments,
attached with an overview of its 10-years schedule (BC Hydro, 2015).
Data Collection and Analysis
Netlytic (2015), a cloud-based text and social networks analyzer that can automatically
collect and summarize data from conversations on social media sites, was used to collect
Twitter tweets and Instagram posts with the specific hashtags or keywords, “Mactaquac” or
“SiteC”, from October 2, 2014 to July 1, 2015. The raw data includes links of tweets and
Instagram posts, publication dates, users’ names, contents, and sources (only for Twitter).
Microsoft Excel was used for data processing. Nvivo was used to code relevant themes for
Twitter and Instagram text-based contents. Netlytic was used to count the frequency of
keywords and analyze social networks.
Results
Total posts and average posts
From October 2, 2014 to July 1, 2015, 1,837 tweets (including original tweets, retweets, and
replies) and 1,744 Instagram posts (including original posts, reposts, and comments)
containing “Mactaquac” as hashtag or keyword, and 19,437 tweets and 870 Instagram posts
containing “SiteC” were collected by Netlytic (Figure 1). The volumes of tweets and
Instagram posts about Mactaquac are nearly the same. Since Instagram has less active users
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and a lower volume of everyday posts than Twitter, the relevant discussion about
“Mactaquac” on Instagram is more active than that on Twitter. As to the “SiteC”, Twitter
had a much larger volume of information than Instagram. Even considering the difference
between these two platforms, relevant discussion about “SiteC” is more active on Twitter
than on Instagram. Generally speaking, the volume of information on Twitter about
“Mactaquac” and “SiteC” is larger than that on Instagram.
Figure 1: Total numbers of tweets and Instagram posts containing “Mactaquac” or “SiteC” as hashtags or
keywords (October 2, 2014 – July 1, 2015)
The numbers of average tweets and Instagram posts containing “Mactaquac” per user per
month are similar, fluctuating within a narrow range around 2 (Figure 2). The average
Instagram posts per user containing “SiteC” is also slightly up and down between 1.3 and
2.3. However, the number of average tweets containing “SiteC” has a wide-range
fluctuation, from 2.0 to 5.3. Comparing the highest average 5.3 tweets containing “SiteC” in
February 2015, and the lowest 2.0 in November 2014, this huge difference was caused by
extreme activity of Twitter big players because the number of Twitter users was actually less
in February than in November. In February 2015, Twitter user @ConnectingTrue posted 922
tweets, including original tweets, retweets, and comments. Another user @kooter4469
posted 197 tweets. In November 2014, the biggest Twitter user @warrenbrazier only posted
39 tweets in total. The changes of average Instagram posts were caused by the same
reason. However, the tweets containing “Mactaquac” were different. The increase in
average tweets in January 2015 was caused both by the active big Twitter player
@mossman_peter and the moderate activity of many other Twitter users.
1837
19437
1744870
0
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Mactaquac SiteC
Twitter Instagram
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Figure 2: Average tweets and Instagram posts by per user per month (Appendix A shows more details)
Twitter and Instagram traffic
This study traced Twitter and Instagram traffic weekly from October 2, 2014 to July 1, 2015
(Week 1 to Week 39). The traffic volumes were compared with the timeline of relevant
publishing news on the main media, including CBC News and The Globe and Mail, the official
websites of the Mactaquac project and the Site C project, and so on (Appendix B provides
the list of News titles and sources). The results help to understand whether the changes of
Twitter and Instagram traffic volumes were related to the activity of the main media and
relevant official websites.
Figure 3 shows that the Twitter traffic of “Mactaquac” and the Instagram traffic were not
synchronous, which means had peaks and valleys at different times. The volume of
Instagram posts had two high spots in week 14 and week 36. However, the volume of
tweets rose to the top in week 17 and the second highest in week 8. Compared with the
timing of publishing news on the main media and relevant official websites, Twitter traffic
had a more matching fluctuation, climbing to peaks when relevant news came out.
However, sometimes there were delays between the news publishing on the main media
and its dissemination on Twitter.
0.0
1.0
2.0
3.0
4.0
5.0
6.0
02-Oct-14 NOV DEC JAN FEB MAR APR MAY 01-Jul-15
Twitter-"Mactaquac" Twitter-"SiteC" Instagram-"Mactaquac" Instagram-"SiteC"
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Figure 3: Twitter and Instagram traffic of "Mactaquac", from date to date
The Twitter traffic of “SiteC” is similar with that of “Mactaquac” which had peaks when
relevant news was published. However, it was not exactly the case every time when news
came out. For example, though there were four pieces of relevant news published from
week 34 to week 36, the Twitter traffic went down from above 600 tweets per week to only
243 tweets (Figure 4). On Instagram, the traffic volume of “SiteC” was quite small if
compared with that on Twitter. It was almost flat except a non-significant peak in week 18.
Neither about “Mactaquac” nor “SiteC”, the Instagram traffic has no relationship with news
published on the main media. This means, in the majority of cases, news was not being
disseminated or discussed on Instagram.
Figure 4: Twitter and Instagram traffic of "SiteC", from date to date
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The difference between Twitter and Instagram traffic was caused by different users’
behaviors. Generally speaking, Twitter is a more ideal platform to discuss public topics since
it is mostly text-based. Although there is a limit of 140 characters for each single tweet, it
allows users to add outside web URLs so that news on the other media websites can be
circulated through Twitter networks. Users can post photos and videos on Twitter, which is
the main service of Instagram. Thus, Twitter has some unique advantages and provides
some of the same functions as Instagram. On the other hand, Instagram is a photo- and
video-based platform. Users have to post at least a photo or video each time while the text-
based description is not required. This is the biggest obstacle for Instagram being an online
forum, though it allows more characters and hashtags for content descriptions. This may
also cause the mismatch of the photo (video) and the text. In addition, viewers are more
likely to merely focus on the content and do not bother to read the long description
carefully sometimes. Thus, Instagram is more suitable to post photo- and video-based
contents about people’s private lives.
Another reason for Twitter to be a preferred space for public discourse is that it has more
big players or opinion leaders including journalists, politicians, and relevant organizations.
Therefore, Twitter has a better political and public environment for public issues to be fully
discussed. People can find various voices on Twitter and get directed connections with
important figures.
Keyword analysis
Netlytic automatically counted the most frequent keywords in relevant tweets and
Instagram posts for each month from January 1 to June 30, 2015. The top 20 keywords per
month for each platform and each topic were examined to find the common ones. Other
top 10 keywords for each platform and each topic are also shown in graphs (Figures 5-10).
Each graph shows four dimensions, including Twitter, Instagram, “Mactaquac”, and “SiteC”.
For example, Figure 5 is the analysis result for January 2015 which shows that: (1) there is
no common keyword for all datasets; (2) “This” and “Mactaquac” are the two common
keywords for tweets and Instagram posts containing “Mactaquac”; (3) “SiteC” is the only
common keyword for tweets and Instagram posts containing “SiteC”; (4) “Fitness” and
“Strong” are the common keywords for Instagram posts containing “Mactaquac” or “SiteC”;
(5) “This” is the common keyword for tweets containing “Mactaquac” or “SiteC”; (6) the
‘other’ keywords are respectively the most frequent ones for the four datasets: tweets
containing “Mactaquac”, Instagram posts containing “Mactaquac”, tweets containing
“SiteC”, and Instagram posts containing “SiteC”.
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Figure 5: Keyword analysis (January, 2015)
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Figure 6: Keyword analysis (February, 2015)
Figure 7: Keyword analysis (March, 2015)
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Figure 8: Keyword analysis (April, 2015)
Figure 9: Keyword analysis (May, 2015)
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Figure 10: Keyword analysis (June, 2015)
Other than the use of the pronoun “This”, and the topic words “Mactaquac” and “SiteC”,
the results of keyword analysis for tweet and Instagram content indicate that:
(1) Relevant discussions on Twitter were mainly focused on the projects themselves, the
rivers, and the places because of most frequent keywords such as “river”, “valley”,
“hydro”, “bcpoli”, “nbpoli”, “panel”, “review”, “@nb_power”, “byhydro”, and so on;
(2) Instagram photos usually showed people’s private lives such as outdoor workout so that
“Fitness” was the common keyword all the time for both case areas;
(3) The most frequent keywords of “Mactaquac” were more about lifestyle, tourism,
weather, which may imply that the project was less discussed on Twitter and Instagram
partially because it is a local issue for the residents who want to keep the reservoir;
(4) While the Site C project caused much wider attention and discussion on Twitter, so the
keywords mostly focused on the energy issues, political issues (e.g. “bchydro”),
landowners (e.g. “landowners”), and the impacts on the river and the valley (e.g. “river”
and “valley”);
(5) Keywords such as “love” and “happy” in June showed people’s more positive tones in
the summer;
(6) Bigger players and opinion leaders on Twitter and Instagram had a great influence on
the keywords ranking (e.g., the yoga-related keywords in the dataset of Instagram posts
with “Mactaquac” were contributed by one user who posted many photos about her
yoga life);
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(7) One big player’s personal opinion may distort our understanding of online discourse
(e.g., the keywords form Twitter-Mactaquac dataset in January, “lake” and “ecosystem”
were only used by @mossman_peter);
(8) Some hashtags (e.g., “#gym”, “#body”, and “fit”) were used as the most popular ones
shared by users to tag their lifestyle and to attract more viewers.
(9) Some keywords (e.g., “igyogafam” and “20-Apr-15”) were only used by one big player
which may not relate to the energy projects or other popular topics;
(10) Local culture may influence people’s use of language and hashtag online (e.g.,
“beautiful Newbrunswick” as an informal slogan was widely used by people on
Instagram).
These analysis results can show us a brief image of the most frequent topics about
“Mactaquac” and “SiteC” on both platforms. However, this analysis was automatically run
by Netlytic which ranked keywords simply by counting every word in tweets and Instagram
posts without careful examination of contexts. This deficiency may cause distortions when
interpreting and understanding the analysis results.
Theme coding
On account of the large volume of information in the datasets, this study is unable to
examine tweets and Instagram posts one by one by hand. Thus, Nvivo was used to
automatically code tweets (including original tweets, retweets, and replies) and Instagram
posts (including original posts, reposts, and comments) by identified keywords. If one tweet
or one Instagram post (textual description part) contains one identified keyword or
stemmed word, it will be coded into the relevant category. This study applied a deductive
method so that all of the coding themes (categories) were developed before coding work to
discover issues people discussed on Twitter and Instagram.
There are four main coding categories, energy-related, politics- and government-related,
economy-related, and environment-related issues. Under each main category, sub-
categories present particular issues people may be concerned about and discuss online.
Appendix C shows the description and keywords of each sub-category. Although the
categories were aimed to be developed as exhaustive, it could not be completed. For
example, “First Nation”, “Aboriginal”, and “Natives” were the identified keywords for coding
people’s concern about First Nation issue. However, there were many other words that
people might also use to discuss the same topic. Thus, the limit of this analysis may cause
underestimation of some relevant issues.
The coding results (Figure 11; Table 1) shows that none of Instagram post containing
“Mactaquac” and only a few of those ones containing “SiteC” used relevant keywords in
their textual descriptions for posts. In taking a careful examination for these identified
posts, only one user was actually talking about the energy project (Figure 12). Thus, this may
indicate Instagram has not become a popular forum for public discussion online.
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Figure 11: Issues discussed on Twitter and Instagram about two cases (bars without numbers = 0)
Table 1
Result of theme coding
Twitter Instagram
Mactaquac SiteC Mactaquac SiteC
Energy Safety 12 13 0 0
Energy Accessibility 0 9 0 2
Energy Waste 0 0 0 0
Energy Depletion 0 0 0 0
Energy Self-sufficiency 0 1 0 0
Energy Update 0 0 0 0
Energy Cost & Cost of
Energy Project
31 440 0 1
Energy Monopoly 0 0 0 0
Politics 27 46 0 0
Revenue Increase 0 6 0 0
Knowledge Accessibility 0 11 0 0
First Nation 1 228 0 0
Economic Development 22 52 0 0
Unemployment 0 0 0 0
Job Creation 0 0 0 0
Property Loss 0 0 0 0
Land Loss 0 36 0 0
Environmental Impact 0 66 0 0
Landscape 1 6 0 1
Sustainability 1 39 0 1
Health 5 21 0 0
Pollution 0 14 0 0
GHG Emission 0 2 0 0
0
200
400
600
12 31 27 1 22 1 1 513 9 1
440
46 6 11
228
52 36 666 39 21 14 2
2 1 1 1
Twitter-Mactaquac Twitter-SiteC Instagram-Mactaquac Instagram-SiteC
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Figure 12: An Instagram post related to the Site C dam project (@northern_redhead, 2015)
On the contrary, Twitter is a much better platform for public discussion. More tweets were
coded into relevant themes which means most tweets were indeed discussing the issues
(Figure 11; Table 1). According to the coding result, the issue people were most concerned
about the Site C project was energy cost and the cost of the energy project (Figure 13a).
Other issues which were also widely discussed were first nation, environmental impact,
economic development, politics, land loss, and sustainability (Figure 13b-g). Some of other
issues were also discussed by small group of online users: (1) some people appealed to
upgrade school before the dam construction due to safety consideration; some people
mentioned the lack of public knowledge about the hydroelectric project; some people
worried about the pollution during the dam construction; and some people the potential
flooding of the riparian landscape. Tweets identified by “accessibility” were not really about
energy accessibility.
Figure 13a: A Twitter user discussing the cost of the Site C project (BC Sustainable Energy, 2014)
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Figure 13b: A Twitter user discussing first nation (Russell, 2014)
Figure 13c: A Twitter user discussing environmental impacts (Maurer, 2014)
Figure 13d: A Twitter user discussing economic development (Sierra Club BC, 2015)
Figure 13e: A Twitter user discussing political issue (Boon, 2015)
Figure 13f: A Twitter user discussing farmland loss (Livable4All, 2015)
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Figure 13g: A Twitter user discussing sustainability (Holm, 2015)
The public discourse on the Mactaquac project was discussed much less on Twitter. The
three main issues people mentioned were energy cost and cost of the energy project,
politics, and economic development (Figures 14a-c). Though the keyword “safe” was
identified 12 times in different tweets, they were mainly talking about road safety in the
winter time in the Mactaquac area. Tweets identified by “health” also did not relate to the
dam project.
Figure 14a: A Twitter user discussing energy cost and the cost of the energy project (Ethan, 2015)
Figure 14b: A Twitter user discussing politics (CBC New Brunswick, 2015)
Figure 14c: A Twitter user discussing economic development (Macdonald, 2015)
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Big Players on Twitter and Instagram
Identifying big players on social media sites is a way to study the online environment.
According to different volumes of total Twitter and Instagram posts for each dataset, the
criteria for being a big player, who is active and have some influence on social media sites,
are different (Table 2). 21 big players were identified from all the datasets (from October 2,
2014 to July 1, 2015). To meet these criteria, Table 3 shows the detailed information.
Table 2
Criteria for being a big player
Social Media Platform Project Total Posts more than
(2014.10.2-2015.6.24)
Followers more
than
Twitter Mactaquac 35 300
SiteC 100 300
Instagram Mactaquac 35 100
SiteC 30 100
Note. Total posts including original posts, reposts, and replies (comments)
Table 3
Big players identified by numbers of posts and followers (Oct 2, 2014 – July 1, 2015)
User Name Account
status
Total
posts Followers
Attitude toward
the energy projects
Twitter – “Mactaquac”
@mossman_peter Private 131 632 Keep the reservoir
@SeeNewBrunswick Organization 37 11600 None
Instagram – “Mactaquac”
@erica_whitman Private 281 1777 None
@haystack_design_services Company 58 801 None
@sdharamr Private 41 13600 None
@jessica.blanchard1 Private 38 432 None
Twitter – “SiteC”
@ConnectingTrue Private 2866 858 Against
@SavePeaceValley Organization 803 1122 Against
@VillageCoal Private 444 1107 Against
@envirochap_d Private 412 319 Against
@Sierra_BC Organization 312 4959 Against
@DavidConway3 Private 277 1733 Support
@bafroe Private 262 1142 Against
@PriscillaJudd Private 172 4475 Against
@wildernews Organization 160 6830 Against
@warrenbrazier Private 152 972 Neutral
@RegimeChangeBC Private 117 1964 Against
@Harold_Steves Private 110 1566 Against
@wendyholm Private 106 1044 Against
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@thegreenpagesBC Organization 103 2508 Against
Instagram – “SiteC”
@bwell.alex Private 38 245 None
Note. Total posts including original posts, reposts, and replies (comments)
Since Instagram is not an ideal platform for discussing a hydroelectric project, the one big player
identified from posts containing “SiteC” and the four from “Mactaquac” were all private accounts
and did not discuss the hydroelectric projects. They only used “Mactaquac” or “SiteC” as a tag for
place or as a popular hashtag so that more people could view their posts.
Regarding big players on Twitter around the topic of “Mactaquac”, @mossman_peter is a private
account and an extreme opponent of removing the dam and restoring the river. Another big player
@SeeNewBrunswick is an official account for New Brunswick tourism. It mainly tweeted photos and
information for travelling to New Brunswick, so it did not show a specific opinion toward the dam
project. However, tweets containing “SiteC” brought many more big players. There were 14 in total.
10 of them were private accounts and 4 of them were accounts for organizations. Among these 14
big players, 12 were against the Site C project for various reasons. For example, Twitter user
@Harold_Steves is a farmland owner and a founder of BC Agricultural Land Reserve & Farmland
Defense League, so he was mainly worried that the farmland would be flooded by the potential
reservoir. Another big player @bafroe is a lawyer who was interested in indigenous people; thus, he
spoke more about the impact on First nations. @wendyholm is an agronomist and economist so that
she focused on the agricultural and economic development in the Site C area. The four
organizational accounts all opposed the hydro project respectively on behalf of the Peace Valley
Environment Association, the Sierra Club BC, Greenpages BC, and the Wilderness Committee. There
was only one private big player, @DavidConway3, who supported the Site C project. He is the
Community Relations Manager of this project at BC Hydro. Another big player, @warrenbrazier, a
lawyer, showed a neutral attitude, concerned about the negative impacts the dam could bring while
admitting the positive ones such as lower energy cost.
These big players imply that Twitter has a better online environment for public discourse, which
means: (1) it provides individuals opportunities to express their opinions and to draw wide
audiences; (2) people can talk to others who have the same concerns and group together; (3) non-
profit organizations, lawyers, and other experts can help and speak for people. However, there is a
concern as well that Twitter might be a space where activism is easy to rise because of the
overwhelming voices for one side, the opponents’ side
Network Analysis
This study used Netlytic to process data collected from June 1 to July 1, 2015 and to
complete network analysis. The network analysis method applied to the Twitter datasets
are name networks, known as “who mentions whom”. A node in a name network means a
Twitter user and a tie between two nodes presents the user’s name directed to, sent, or
received by the node user (Netlytic, 2015). Based on the form of information dissemination
on Twitter, a mention is the main operation to share ideas with other users. Thus, name
network is the most effective method to identify the most common shape of network and
20
opinion leaders. Another analysis method, chain network, known as “who replies to whom”,
was applied to the Instagram datasets. A node in this network means an Instagram user and
a tie can present a range of connections from “a sender to the last person in the post chain
only" to "Connect a sender to all people in the reference chain with decreasing weights"
(Netlytic, 2015). Compared with a mention, a reply is the more common operation on
Instagram for one user to show his or her opinion toward one post.
“Mactaquac” on Twitter
From the network analysis result of tweets containing “Mactaquac” (Figure 15), Netlytic
identified five main clusters. Clusters 1 (Figure 16a), 2 (Figure 16b), and 5 (Figure 16e) are
hub-and-spoke, which means many users have connections with the same opinion leader.
The three opinion leaders are @seenewbrunswick, @nb_power, and @cbcnb. All of them
are accounts of organizations: the tourism group, a power company, and a main media
organization. While clusters 3 (Figure 16c) and 4 (Figure 16d) have no opinion leaders.
Cluster 3 contains unidirectional, bidirectional, and polygonal shapes of connection. Cluster
4 is mostly consisted of unidirectional shapes. Unidirectional connection means one user
mentions another; while bidirectional means two users mention each other. Polygonal
connection means three or more users mention some other users who are in the same
polygon as well. The opinion leaders identified by network analysis are different from the
big players identified by numbers of tweets and followers except @seenewbrunswick. This
indicates that opinion leaders in this case might not be the most active accounts but their
messages could have a wider dissemination and their names are more frequently
mentioned by other users. Also, organizational accounts have greater influence than private
ones.
According to the theory network archetypes, this Twitter – “Mactaquac” network is
polarized issue network (Kozinets, 2015). “Polarized issue networks are connected, tight,
and unified together; however, they are divided and partisan with one other large group.”
(ibid., p.43) Figure 15 shows there is a separation between the group led by @nb_power
and another led by @seenewbrunswick. The two large groups were discussing the same
topic on Twitter while respectively generating, circulating information with similar opinions
within their own group and ignored the other one. They only had a few connections
between two large groups.
21
Figure 15: Network analysis (Twitter - "Mactaquac", June, 2015)
Figure 16a: Cluster 1 (Twitter - "Mactaquac")
Figure 16c: Cluster 3 (Twitter - "Mactaquac")
22
Figure 16b: Cluster 2 (Twitter - "Mactaquac")
Figure 16d: Cluster 4 (Twitter - "Mactaquac")
Figure 16e: Cluster 5 (Twitter - "Mactaquac")
“SiteC” on Twitter
The network analysis result of tweets containing “SiteC” is richer because of the huge size of
this dataset (Figure 17). Two opinion leaders was identified from the five main clusters,
@savepeacevalley from cluster 1 (Figure 18a) and @villagecoal from cluster 2 (Figure 18b).
They are also two of the big players identified by the number of tweets and followers. The
other three clusters do not show any opinion leaders. In this case, there are various shapes
of network, including unidirectional, bidirectional, polygonal, and hub-and-spoke. This might
indicate discussions on Twitter about “SiteC” were heat and people with various opinions
interacted with each other, which could help to enhance public discourse and to accelerate
the flow of information.
Compared with the polarized issue network of “Mactaquac” on Twitter, “SiteC” may show
the image of tight social networks, which “are composed of the most highly interconnected
people with very few isolated participants” (Kozinets, 2015, p.44). This type of social
23
network conceits an ideal scenario for public discourse on social media sites where users
“conduct large and open conversations about similar topics, responding to one another in a
form that resembles the coherent threads of a newsgroup or forum” (ibid., p.45). However,
this tight social networks of “SiteC” on Twitter seem to be arising from only dam opponents,
rather than those with diverse opinions. Data collection only began after the Site C dam was
approved, and so there may be little incentive for dam supporters to voice their opinions.
Figure 17: Network analysis (Twitter - "SiteC", June, 2015)
Figure 18a: Cluster 1 (Twitter - "SiteC")
Figure 18b: Cluster 2 (Twitter - "SiteC")
24
Figure 18c: Cluster 3 (Twitter - "SiteC")
Figure 18d: Cluster 4 (Twitter - "SiteC")
Figure 18e: Cluster 5 (Twitter - "SiteC")
“Mactauqac” on Instagram
Instagram has a different form of information generation and dissemination. The chain
network can help to find the people who get the most responses from other users, which
means his or her photos are popular among users. The network analysis result (Figure 19)
from Instagram posts containing “Mactaquac” shows two potential opinion leaders
@erica_whitman (Figure 20a) and @haystack_design_services (Figure 20b), who are the
same two biggest players identified by numbers of posts and followers. However, they are
private accounts who posted nothing related to the Mactaquac dam project. They used the
hashtag “Mactaquac” only as a place name or a popular hashtag which could attract more
viewers. Regarding the shapes of connection, Instagram presented more simple, small, and
25
independent clusters which only contains unidirectional and hub-and-spoke shapes. This
implies that Instagram users form small social groups with limited audiences more easily
and information is more difficult to circulate between different groups.
Figure 19: Network analysis (Instagram - "Mactaquac", June, 2015)
Figure 20a: Cluster 1 (Instagram - "Mactaquac")
Figure 20a: Cluster 2 (Instagram - "Mactaquac")
“SiteC” on Instagram
The network analysis result (Figure 21) of Instagram posts containing “SiteC” shows many
similarities as that of “Mactaquac”. The clusters are simple, small, and independent. The
main four potential opinion leaders received less replies than the two from “Mactaquac”.
@bwell.alex was the same big player who was also identified by the number of posts and
26
followers. Like this one, the other three accounts are all private accounts and focused on
workout and fitness. This can also explain the keyword analysis result of this dataset that
“Fitness” was the top word all the time. It may because this was a popular lifestyle in that
area.
Figure 21: Network analysis (Instagram - "SiteC", June, 2015)
Figure 22a: Cluster 1 (Instagram - "SiteC")
Figure 22c: Cluster 3 (Instagram - "SiteC")
27
Figure 22b: Cluster 2 (Instagram - "SiteC")
Figure 22d: Cluster 4 (Instagram - "SiteC")
Discussion
This study examined tweets and Instagram posts containing hashtags or keywords,
“Mactaquac” or “SiteC”, from October 2, 2014 to July 1, 2015. Analysis results indicate that
Instagram is not an ideal space for public discourse for these six main seasons:
(1) The photo- or video-required form for each Instagram post is not suitable for public
discussion. People are more used to discussing things based on text. Photos or videos
may not be the best material or the form for discussion on public topics.
(2) Compared with Twitter, Instagram is a new social media platform and has fewer users
and a lower volume of information. This is also a limit for wide and full discussion.
(3) The typical networks on Instagram are small, simple, and independent. This usually locks
information within a small social group instead of disseminating it to wider audiences.
(4) The results from coding work show that hashtags and keywords related to public topics
on Instagram sometimes have a low relationship with the topic itself. This means users
may use topic hashtags or keywords for other reasons but not discussing the exact topic.
Thus, it is more difficult for users to search and identify relevant topics or information.
(5) There are fewer big players and opinion leaders on Instagram. Instagram is not a good
choice for people who use social media to seek instant and directed information from
official accounts, relevant organizational accounts, and other people who are also
concerned about the same topic.
(6) Users on Instagram are more likely to show their private daily lives.
Though Instagram has many shortcomings for being a forum online, it has one advantage. It
has 2,200-character and 30-hashtag limits for text-based description accompanied with each
photo or video, while Twitter only allows users to post tweets with a maximum 140-
character limit for each. Thus, on Twitter, messages have to be concise and incompletely
expressed sometimes. This is the biggest obstacle on Twitter for public discourse. However,
this advantage of Instagram may be undermined by two things. First, Instagram is photo- or
28
video-required, which means users can not only express opinions in text. This may cause the
mismatch of photo content and its textual description. Another fact is that Instagram users
are most likely to merely focus on the content of photos or videos and ignore the
description.
Nevertheless, Instagram still has potential for public discourse about local events. In the
middle of July, 2015, #peacepaddle became a popular hashtag and was widely used by
people in the Site C area to tag the event, “Paddle for the Peace” which aimed to support
and celebrate the on-going integrity of the Peace River Valley. People shared photos they
took in the event on Instagram to against the Site C project. Although this was a good
practice for public discourse on Instagram, it was limited by the venue, the time, and the
event per se. This means such discourse can merely involve people who attend the events
and have photos or videos to share.
On the contrary, Twitter has strengths for being an ideal space for public discussion:
(1) Twitter is mainly a text-based social media platform. This is convenient for users to
discuss public issues. It also allows other multiple media forms, such as photos, videos, and
URLs. Those appended materials can support and enhance people’s discussion, and
disseminate information from traditional media to social media.
(2) There are many more users on Twitter and the daily volume of information is much
larger than that on Instagram.
(3) Twitter has more various forms of networks which connect more users with each other.
This helps to widely disseminate information. Also, users can receive new messages or
different opinions from other users whom they might not be well acquainted with before.
(4) Hashtags and keywords have a higher relevance to the exact topics on Twitter than on
Instagram, which maybe because of the 140-charaters limit so that users have to choose
words and hashtags more carefully. This can help users to search and identify topics more
accurately and effectively.
(5) Many government offices, politicians, companies, journalists, experts, and other
organizations have Twitter accounts and post messages on a regular basis. People can get
sufficient information from different perspectives.
(6) Twitter is a more public space. Many of its users are using it for their public lives. Some
of them are even more willing to express public opinions online, than in their ‘real life’,
because of anonymity.
29
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33
Appendix A: Twitter and Instagram Traffic
Figure A1: Twitter traffic of “Mactaquac”
Figure A2: Twitter traffic of “SiteC”
0
0.5
1
1.5
2
2.5
3
0
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100
150
200
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02-Oct-14 NOV DEC JAN FEB MAR APR MAY 01-Jul-15
Number of tweets Number of users Average tweets by per user
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4
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0
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1000
1500
2000
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3000
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02-Oct-14 NOV DEC JAN FEB MAR APR MAY 01-Jul-15
Number of tweets Number of users Average tweets by per user
34
Figure A3: Instagram traffic of “Mactaquac”
Figure A4: Instagram traffic of “SiteC”
0
0.5
1
1.5
2
2.5
3
3.5
0
100
200
300
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500
600
02-Oct-14 NOV DEC JAN FEB MAR APR MAY 01-Jul-15
Number of posts Number of users Average posts by per user
0
0.5
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02-Oct-14 NOV DEC JAN FEB MAR APR MAY 01-Jul-15
Number of posts Number of users Average posts by per user
35
Appendix B: News List
Mactaquac
Week 1:
(1) CBC. (2014, October 1). Mactaquac dam replacement cost could hit $5B, says NB Power
[web news]. Retrieved from http://www.cbc.ca/news/canada/new-
brunswick/mactaquac-dam-replacement-cost-could-hit-5b-says-nb-power-1.2783749
(2) CBC. (2014, October 3). Mactaquac future [audio program]. Retrieved from
http://www.cbc.ca/player/Radio/Local+Shows/Maritimes/Information+Morning+-
+Fredericton/ID/2540728275/
Week 8:
(1) Mactaquac Official Website. (2014, November 25). NB Power seeks input on technical
study guidelines for Mactaquac future options [web news]. Retrieved from
http://www.mactaquac.ca/nb-power-seeks-input-on-technical-study-guidelines-for-
mactaquac-future-options/
Week 17:
(1) CBC. (2015, January 23). Transformer move to Mactaquac dam to cause traffic delays
[web news]. Retrieved from http://www.cbc.ca/news/canada/new-
brunswick/transformer-move-to-mactaquac-dam-to-cause-traffic-delays-1.2929734
Week 22:
(1) Mactaquac Official Website. (2015, February 26). Public input contributes to economic,
social and environmental review of Mactaquac options [web news]. Retrieved from
http://www.mactaquac.ca/public-input-contributes-economic-social-environmental-
review-mactaquac-options/
Week 23:
(1) CBC. (2015, March 4). Mactaquac Dam Project Options [audio program]. Retrieved from
http://www.cbc.ca/informationmorningfredericton/2015/03/04/mactaquac-dam-
project-options/
(2) CBC. (2015, March 11). Potential Impacts of Mactaquac Dam Refurbishment [audio
program]. Retrieved from
http://www.cbc.ca/informationmorningfredericton/2015/03/11/potential-impacts-of-
mactaquac-dam-refurbishment/
Week 24:
(1) CBC. (2015, March 12). New Brunswick Political Panel: March 12: The future of the
Mactaquac Dam [video program]. Retrieved from
http://www.cbc.ca/player/News/Canada/NB/Political+Panel/ID/2658510259/
36
(2) CBC. (2015, March 12). Dam Meeting [video program]. Retrieved from
http://www.cbc.ca/player/News/Canada/NB/CBC+News:+New+Brunswick/ID/2658414
626/
Week 36:
(1) CBC. (2015, June 2). Mactaquac dam replacement testing going ahead this summer
[web news]. Retrieved from http://www.cbc.ca/news/canada/new-
brunswick/mactaquac-dam-replacement-testing-going-ahead-this-summer-1.3096870
Week 37:
(1) CBC. (2015, June 16). NB Power says rate increase will offset Mactaquac dam costs [web
news]. Retrieved from http://www.cbc.ca/news/canada/new-brunswick/nb-power-
says-rate-increase-will-offset-mactaquac-dam-costs-1.3116468
(2) CBC. (2015, June 17). NB Power rate hearing focuses on Mactaquac replacement [web
news]. Retrieved from http://www.cbc.ca/news/canada/new-brunswick/nb-power-
rate-hearing-focuses-on-mactaquac-replacement-1.3116736
Week 38:
(1) Mactaquac Official Website. (2015, June 23). Mactaquac Station welcomes visitors for
open house and tours [web news]. Retrieved from
http://www.mactaquac.ca/mactaquac-station-welcomes-visitors-for-open-house-and-
tours/
Site C
Week 2:
(1) Site C Official Website. (2014, October 9). Why BC Hydro is Proposing Site C [web news].
Retrieved from https://www.sitecproject.com/news-and-information/why-bchydro-is-
proposing-site-c
(2) CBC. (2014, October 15). Site C passes environmental assessment [audio program].
Retrieved from http://www.cbc.ca/daybreaknorth/interviews/2014/10/15/site-c-
passes-environmental-assessment/
Week 11:
(1) CBC. (2014, December 16). Province approves 8.3 billion dollar Site C Dam [audio
program]. Retrieved from http://www.cbc.ca/radiowest/2014/12/16/province-
approves-83-billion-dollar-site-c-dam/
(2) BC News. (2014, December 16). Site C to provide more than 100 years of affordable,
reliable clean power [web news]. Retrieved from https://news.gov.bc.ca/stories/site-c-
to-provide-more-than-100-years-of-affordable-reliable-clean-power
(3) CBC. (2014, December 16). Gwen Johansson on Site C in 1973/letters to Linda Jones of
Environmental Assessment Agency [audio program]. Retrieved from
http://www.cbc.ca/daybreaknorth/2014/12/16/gwen-johansson-on-site-c-in-
1973letters-to-linda-jones-of-environmental-assessment-agency/
37
(4) CBC. (2014, December 17). Energy minister defends Site C [audio program]. Retrieved
from
http://www.cbc.ca/player/Radio/Local+Shows/British+Columbia/The+Early+Edition/ID/
2640855666/
Week 31:
(1) Site C Official Website. (2015, April 30). BC Hydro Selects Preferred Proponent for Site C
Worker Accommodation Contract [web news]. Retrieved from
https://www.sitecproject.com/bc-hydro-selects-preferred-proponent-for-site-c-worker-
accommodation-contract
(2) CBC. (2015, May 6). What would the flooding at Site C look like somewhere else? [audio
program]. Retrieved from http://www.cbc.ca/radiowest/2015/05/06/what-would-the-
flooding-at-site-c-look-like-somewhere-else-2/
Week 32:
(1) Site C Official Website. (2015, May 11). BC Hydro Awards Contract for South Bank
Clearing Work for Site C [web news]. Retrieved from
https://www.sitecproject.com/news-and-information/bc-hydro-awards-contract-for-
south-bank-clearing-work-for-site-c
Week 34:
(1) Site C Official Website. (2015, May 27).BC Hydro and Building Trades Advance Labour
Stability for Site C [web news]. Retrieved from https://www.sitecproject.com/bc-hydro-
and-building-trades-advance-labour-stability-for-site-c
Week 35:
(1) The Globe and Mail. (2015, May 31). B.C.’s Site C dam still waiting on permits delayed
by Treaty 8 group [web news]. Retrieved from
http://www.theglobeandmail.com/news/british-columbia/bcs-site-c-dam-still-waiting-
on-permits-delayed-by-treaty-8-group/article24717382/
(2) CBC. (2015, June 3). Site C dam puts Peace River Valley on Canada's top 10 endangered
places list [web news]. Retrieved from http://www.cbc.ca/news/canada/british-
columbia/site-c-dam-puts-peace-river-valley-on-canada-s-top-10-endangered-places-
list-1.3099500
Week 36:
(1) Site C Official Website. (2015, June 8). Public Invited to Learn about Site C Construction
[web news]. Retrieved from https://www.sitecproject.com/public-invited-to-learn-
about-site-c-construction
Week 39:
(1) The Globe and Mail. (2015, June 25). Scientists scramble to catalogue wildlife ahead of
B.C. dam decision [web news]. Retrieved from
38
http://www.theglobeandmail.com/news/british-columbia/scientists-to-catalogue-
wildlife-bcs-site-c-dam-would-drown/article25104342/
39
Appendix C: Coding Themes (Categories)
Dam-related issues contain four main themes (categories): energy, politics and government,
economy, and environment. Each theme has its own sub-categories (Table C1, Table C2,
Table C3, and Table C4).
TABLE C1
ENERGY-RELATED ISSUES
ISSUE TYPE Description Keywords
ENERGY SAFETY Energy Safety Safe
ENERGY
ACCESSIBILITY
Accessibility to different energy recourses
Need more energy products
Access
ENERGY WASTE Overuse, use too much, and waste of energy Overuse,
*Energy Waste
ENERGY
DEPLETION
Worries about energy depletion Deplete
ENERGY SELF-
SUFFICIENCY
Worries about dependence on importing energy
from outside
Need to discover and use energy inside the
province
Self-sufficient
ENERGY UPDATE Update of energy infrastructure
Get rid of old energy facilities and build new ones
*Energy Update
ENERGY COST Complains about high energy cost Cost
COST OF ENERGY
PROJECT
Worries about high cost of energy project Cost
ENERGY
MONOPOLY
Monopoly by NB Power Monopoly
NOTE. ALL THE KEYWORDS WITHOUT * WERE IDENTIFIED BY THE EXACT WORDS AND STEMMED WORDS. THE
KEYWORDS WITH * WERE IDENTIFIED BY THE EXACT WORDS ONLY.
40
TABLE C2
POLITICS- AND GOVERNMENT-RELATED ISSUES
ISSUE TYPE Description Keywords
POLITICS Complains about political or governmental
interference with energy decision-making
Politics
REVENUE
INCREASE
Look forward to revenue increase by energy
development
Revenue
KNOWLEDGE
ACCESSIBILITY
Worries about energy-related knowledge
accessibility
Knowledge
FIRST NATION Worries about first nation *First Nation,
Aboriginal,
Natives NOTE. ALL THE KEYWORDS WITHOUT * WERE IDENTIFIED BY THE EXACT WORDS AND STEMMED WORDS. THE
KEYWORDS WITH * WERE IDENTIFIED BY THE EXACT WORDS ONLY.
TABLE C3
ECONOMY-RELATED ISSUES
ISSUE TYPE Description Keywords
ECONOMIC
DEVELOPMENT
Participants think developing energy will help to
develop economy
Economic
UNEMPLOYMENT Worries about unemployment Unemployment
JOB CREATION Participants think developing energy will help to
create jobs
*Create Job
PROPERTY LOSS
LAND LOSS
Worries about losing private properties by
proceeding energy projects
Worries about losing land by proceeding energy
projects
*Property Loss
*Land Loss,
*Farmland Loss NOTE. ALL THE KEYWORDS WITHOUT * WERE IDENTIFIED BY THE EXACT WORDS AND STEMMED WORDS. THE
KEYWORDS WITH * WERE IDENTIFIED BY THE EXACT WORDS ONLY.
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TABLE C4
ENVIRONMENT-RELATED ISSUES
ISSUE TYPE Description Keywords
ENVIRONMENTAL
IMPACT
Worries about environmental impact
Not mention any specific type of environmental
impact
Environment
LANDSCAPE Worries about landscape impacts Landscape
SUSTAINABILITY Worries about the future generations Sustainable
HEALTH Human’s health Health
POLLUTION Pollution Pollute
GHG EMISSION Greenhouse gas emission Greenhouse NOTE. ALL THE KEYWORDS WITHOUT * WERE IDENTIFIED BY THE EXACT WORDS AND STEMMED WORDS. THE
KEYWORDS WITH * WERE IDENTIFIED BY THE EXACT WORDS ONLY.