science dissemination 2.0: social media for researchers. practical workshop
TRANSCRIPT
Master in Translational Medicine-MSc CELLEX UB’s Faculty of Medicine, 9 March 2016
Science dissemination 2.0 Practical Workshop Social media for researchers
Xavier Lasauca i Cisa @xavierlasauca
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http://commons.wikimedia.org/wiki/File:Introduction_%28Punch,_volume_1,_1841%29.png
Introduce yourself and say: Who you are and where you
work/study What your research interests
are What you hope to gain from
the session
About you
#Listen
EXERCISE 1: Connect to feedly.com and create your personal account. Subscribe to: Blogs: Blog director NIH + The California Stem Cell Agency blog Universities: Institute for Translational Medicine Univ. Chicago Publications: Journal of Translational Medicine + Science journal Research centers: IDIBAPS Organize the recently created feeds in four collections (Blogs, Universities, Publications, Research centers)
#Communicate
The uses of Twitter for Science
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Bio (biografia) Timeline (cronologia) Follower (seguidor) Following (a qui segueixo) Tweet (tuit, piulada) Mention (menció) Retweet (RT) (retuit, repiulada) Like (m’agrada) DM (missatge directe) Hashtag (#) (etiqueta) #FF (Follow Friday) (recomanació per
seguir) Trending Topic (TT) (Tema del moment) List (llista) Unfollow(deixar de seguir)
#Tw
itte
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The Bio
The Timeline
RT
Mention
Likes
Trends (TT), DM
TT
Twitter lists
Some tips…
• Do not exceed 120 characters
• Structure tweet: text + URL + hashtags
• Be very careful with spelling
• Include an image
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EXERCISE 2: Sign up to Twitter from twitter.com 1. Follow ten accounts (@idibaps,
@MasterTMedicine, @hospitalclinic…)
2. Add an image and fill in the bio (View profile – edit profile)
3. Go to @idibaps @crgenomica @stemcellsTM and RT two tweets and Like two tweets more
4. Send two DM to colleagues of workshop
5. Send your first tweet
6. Subscribe to a list of @xavierlasauca
7. Create one list and add 5 accounts
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Klout is a website and mobile app that uses social media analytics to rank its users according to online social influence via the "Klout Score“
Numerical value between 1 and 100
Klout uses Bing, Facebook, Foursquare, Google+, Instagram, LinkedIn, Twitter, YouTube, and Wikipedia data to create Klout user profiles that are assigned a unique "Klout Score“.
Klout has been criticised for the opacity of their methodology.
Influence Score and Platform created using PeopleBrowsr technology
Based on Twitter
Kred is a dual score to distinguish a person's Influence (the likelihood that someone will trust a person and act upon their posts, 0-1000) and Outreach (the propensity to share other people's content forward, 0-10)
Provides influence measure based upon an openly-published algorithm
KRED
Source: Social Media Analytics for R&D: a Catalan Vision (5-11-2012)
Over to you
In groups of 3 or 4 discuss:
• What concerns do you have about using social media?
• What risks do you envisage?
• What limitations might social media have in your research area?
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Xavier Lasauca i Cisa
www.xavierlasauca.cat @xavierlasauca