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    Negative Advertising and Campaign Strategy:An Analysis of Negative Advertising in the 2000 Presidential Election

    Molly McCartney

    Creighton University

    Introduction

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    An important aspect of political science is the analysis of political campaigns.

    ne of the most infl!ential areas of political campaigning is televised political

    advertising. "he #ay a candidate chooses to relay a message to the American p!$lic %i.e.&

    negative political advertisements& positive political advertisements& etc.' is almost as

    impactf!l as #here %i.e.& s#ing states& small television mar(ets& etc.' that candidate airs

    his)her message. *or e+ample& in the 2000 election& ,!sh ran a very strong negative

    campaign in So!th Carolina& $!t not in "e+as. "his leads !s to #onder #hy a candidate-s

    campaign strategy is form!lated the #ay it is. n order to gain a $etter !nderstanding of

    the $ehaviors involved in television political advertising& an important /!estion is& n the

    2000 Presidential Election& #hy did 1eorge ,!sh choose to r!n negative television

    advertisements in some media mar(ets and not others34

    "his /!estion is #orth addressing for many reasons. *irst& #ith the n!m$er of

    negative ads on the rise& it is important to gain an !nderstanding into #hy some

    candidates find negative ads to $e s!ch a !sef!l part of political campaigning. Second&

    many voters report disli(e for negative ads& so it is important to analy5e #hy candidates

    #o!ld choose to r!n advertisements to #hich the voting p!$lic often has a negative

    response. "hird& most candidates do not r!n the same advertisements in all 6MAs.

    ,eca!se of this& it is important to analy5e #hy candidates choose to r!n negative ads in

    some 6MAs and not in others.

    Negative political advertising is an area of st!dy that many political scientists

    str!ggle to !nderstand. "he research on the topic is often s(e#ed& #ith some political

    scientists finding that negative ads are $eneficial to a candidate& and other political

    scientists finding that negative ads have a detrimental effect on a candidate-s campaign.

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    t is common (no#ledge among US citi5ens that most people are disco!raged $y

    negative ads. ,eca!se of this& it #o!ld seem that most candidates #o!ld refrain from this

    (ind of advertising. 7o#ever& $eca!se candidates do contin!e to !se negative ads in their

    campaigns& #e #ill e+amine the literat!re on this topic and hopef!lly find a common

    thread regarding negative advertisements in political campaigning.

    An ans#er to the /!estion n the 2000 Presidential Election& #hy did 1eorge

    ,!sh choose to r!n negative television advertisements in some media mar(ets and not

    others34 co!ld $e very important to political science. ,y !nderstanding #hy the

    President chose to r!n negative advertisements in some areas and not others in the 2000

    Presidential Election& #e co!ld $etter !nderstand campaign strategy as a #hole. ,y

    doing so& #e #ill $e a$le to predict ho# candidates #ill $ehave in political campaigns.

    Literature Review

    "he literat!re on negative advertising is split into three smaller gro!ps:

    8' 7o# do people respond to negative ads3

    2' 6o negative ads #or(3

    9' 7o# does negative advertising relate to campaign strategy and strategic

    decisionma(ing in a campaign3

    n order to gain a $etter !nderstanding of the literat!re& it is important to e+amine all

    three of these areas and their relation to negative advertising.

    n the 8;

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    released for a #ee(end #hile serving a life sentence for m!rder. 7orton #as released as

    part of a f!rlo!gh program intended to help reha$ilitate convicted felons. 7o#ever&

    d!ring his short time o!t of prison& he committed rape and armed ro$$ery. 6emocratic

    nominee and Massach!setts 1overnor Michael 6!(a(is #as attac(ed in the no#

    infamo!s illie 7orton ad4 for his s!pport of the f!rlo!gh program that allo#ed the

    felon to commit s!ch horri$le crimes on his short #ee(end release %#i(ipedia& 200='.

    ,eca!se there is s!ch a fervent de$ate over #hether or not negative ads are fair&4

    it is important to e+amine the impressions left $y negative advertisements s!ch as the

    illie 7orton ad. "he impressions left $y these ads are important to note not only for

    o$servers of the ads& $!t also to those #ho create and air political spots4 %>ahn and

    1eer& 8;;?. p. ;@'. "here have $een n!mero!s st!dies and articles spec!lating #hy

    negative ads have $ecome s!ch a pop!lar method of campaigning in the United States.

    Unfort!nately& many of these st!dies are s(e#ed& #ith some political scientists finding

    that negative ads are $eneficial to a candidate& and other political scientists arg!ing that

    negative ads have a detrimental effect on a candidate-s campaign as #ell as on voter

    t!rno!t. Evidently& as >ahn and 1eer agreed& it is not clear ho# m!ch political ads

    act!ally do infl!ence the p!$lic-s vie#s4 %>ahn and 1eer& 8;;?. p. ;9'.

    As stated $y aforementioned research of >ahn and 1eer& given that the 90

    second spot is a centerpiece of the modern campaign& #e need to increase o!r

    !nderstanding of the impact of political campaigning4 %>ahn and 1eer& 200?. p. 880'. n

    order to this& #e m!st first e+amine the !ni/!eness of negative ads. n m!ch of the

    literat!re regarding political campaigning& researchers ma(e distinctions $et#een positive

    and negative ads.

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    Negative ads are defined as attac( ads4 that foc!s on a candidate-s opponent&

    rather than on the candidate him)herself. Positive ads& on the other hand& foc!s on the

    candidate r!nning the ad and his)her a$ilities or stance on iss!es. esearchers f!rther the

    distinctions $et#een negative and positive ads $y separating negative advertisements as

    ads that attac( an opponent-s personal characteristics and)or those ads that attac( a

    competitor-s stand on iss!es. As stated $y >ahn and 1eer& for most state and national

    elections& contenders m!st decide #hat type of commercials to air on television. Among

    their decisions are #hether to develop positive4 or negative4 spots and #hether they

    #ant to stress the candidate-s vie#s on iss!es or the contender-s personal characteristics4

    %>ahn and 1eer& 8;;?. p. ;B'. Personal negative ads may incl!de attac(s on the

    competitor-s family life& ed!cation& past legal pro$lems& financial mishaps& etc. ss!e

    negative ads& on the other hand& attac( an opponent-s stance on (ey iss!es of an election

    %i.e.& stand on ta+ reform& a$ortion& p!$lic healthcare& etc.'.

    How do people respond to negative ads?

    According to Ansola$ehere and yengar& citi5ens #ho vie# negative

    advertisements often say that they are less li(ely to vote $eca!se of the disco!ragement

    im$edded $y the ad %Ansola$ehere and yengar& 8;;='. "his& of co!rse& raises the

    /!estion& do some politicians p!rposely r!n negative ads in order to disco!rage a gro!p

    of voters from sho#ing !p to the polls34 t #o!ld seem that a savvy politician may !se

    negative ads in an area #here he)she generally loses the vote4 in order to disco!rage

    voters from going to the polls and li(ely casting votes for his)her opponent& th!s

    increasing his)her chances of victory. 7o#ever& according to atten$erg and ,rians& it

    ma(es little sense to limit the goal of campaign ads to infl!ence t!rno!t& especially since

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    scholars have fo!nd that television advertising act!ally contri$!tes to political learning4

    %atten$erg and ,rians& 8;;;. p.

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    ,efore #e can as( the /!estion& do negative ads #or(34 #e m!st first e+amine

    #hat is meant $y #or(4. "he effectiveness of a campaign is generally $ased on ho#

    s!ccessf!l the campaign #as in gaining votes for a partic!lar candidate. 7o#ever& d!e to

    the s(e#ed nat!re of research on negative advertising& #e #ill also disc!ss voter t!rno!t

    as a meas!re of effectiveness.

    After the 8;;B presidential race& ep!$lican candidate ,o$ 6ole #as as(ed #hy

    he tho!ght voter t!rno!t #as so lo# in the election. 6ole cited negative campaigning as

    the c!lprit& and said that people get t!rned off #ith negative ads4 %Novem$er

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    information from the National Election S!rvey from 8;;2 and 8;;B. t sho#s that

    vie#ers #ho complained a$o!t negative ads act!ally had a t!rno!t rate of B higher than

    those #ho did not complain a$o!t these ads. "his clearly strips credi$ility from the

    demo$ili5ation theory s!pported $y researchers li(e Ansola$ehere and yengar.

    TABLE 1. Percentage Turnout in 1992 and 1996, by Comments about Recall o

    Positi!e and "egati!e Political Ads or Presidential Candidates

    1992 1996

    6id not mention negativeor positive ads @2.2 %=B2' B;.@ %=@@'

    Said something a$o!t a

    negative ad

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    it is easy to imagine an e+perimental s!$ect #ho feels contempt for politics

    immediately after $eing e+posed to a negative ad and states s)he #ill not vote. Fet& #hen

    election day arrives& the same person may decide to vote after assessing #hether the

    difference $et#een the candidates is #orth the tro!$le of participating4 %atten$erg and

    ,rians& 8;;;. p.

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    !s!ally $ased off previo!slyheld partisan identification and)or sociological

    characteristics %,ernard& Da5arsfeld and McPhee& 8;=?'. t #o!ld seem rational&

    therefore& that negative advertisements #o!ld not have a tremendo!s impact on the

    vie#ers #ith these previo!slyheld vie#s of a candidate. ,eca!se of this& research in the

    area of political campaigns has $een largely ignored or marginali5ed in the past. Many

    political scientists $elieved that individ!al votes and election o!tcomes Hco!ldI $e

    predicted #itho!t acco!nting for the campaign4 %7illyg!s and Jac(man& 2009. p. =

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    7illyg!s and Jac(man agree #ith Camp$ell. "hey fo!nd that s!pport for a

    candidate is largely infl!enced $y the political predispositions held $y an individ!al& and

    is only marginally impacted $y campaign activities& s!ch as conventions& de$ates or

    advertisements %7illyg!s and Jac(man& 2009'. *!rther& they fo!nd that an individ!al-s

    predispositions #ill have a great impact on ho# he)she reacts to the campaign activities.

    *or e+ample& a ep!$lican vie#ing a negative ad r!n $y a 6emocratic candidate #ill

    li(ely have a more negative impression of the ad than a 6emocrat #atching the same ad.

    7illyg!s and Jac(man f!rthered this idea $y arg!ing that not only #ill 6emocrats react

    differently to an event than #ill a ep!$lican or ndependentG !ndecided 6emocrats #ill

    react differently than #ill ,!sh 6emocrats& 1ore 6emocrats& and so on4 %7illyg!s and

    Jac(man& 2009. p. =;0'.

    hen >ahn and 1eer researched negative political advertising& their findings had

    a !ni/!e /!ality. n 8;;0& the t#o researchers cond!cted a s!rvey of a 909 st!dent

    ntrod!ction to American Politics class at Ari5ona State University. "he st!dents #ere

    sho#n a tape of the N,C program Cheers4& incl!ding commercials. Some of the

    commercials incl!ded act!al political advertisements the researchers had chosen& and the

    tape had no evidence of $eing altered. "he s!$ects #ere told that the researchers #ere

    st!dying vie#er reactions to primetime television programming& in order to shift the

    foc!s from the political ads to the television program. *rom their research& >ahn and

    1eer ded!cted that negative advertisements that directly attac( the traits of a candidate-s

    opponent #ere the least effective spot. "his #as as opposed to commercials of negative

    iss!es& positive iss!es& or positive traits %>ahn and 1eer& 8;;?'. "he !ni/!eness of the

    st!dy lies in the fact that the s!$ects #ere more tolerant of attac( ads #hen they foc!sed

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    on specific iss!es& instead of personality traits. *!rther& the negative iss!e ads that

    provided evidence to s!pport the attac( #ere more effective than those that did not. As

    previo!sly stated& the ads that critici5ed the opponent-s personal traits or lifestyle choices

    #ere fo!nd to $e co!nterprod!ctive and led to negative impressions of the attac(er& rather

    than of the opponent $eing attac(ed %>ahn and 1eer& 8;;?'.

    ith a $etter !nderstanding of ho# negative advertisements alter preconceived

    vie#s of a candidate %or& in this case& do not alter those vie#s'& #e can no# e+amine ho#

    negative advertising impacts impressions of !n(no#n candidates. Past research has

    s!ggested that negative ads are often remem$ered $etter than positive ads %1arramone&

    8;

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    him)her and ho# easily a candidate can gain access to the press for events s!ch as press

    conferences and p!$lic anno!ncements.

    "here #as some research& ho#ever& that #as foc!sed on campaign strategy and

    negative advertising. >ahn and 1eer fo!nd that negative ads $ecame less effective #hen

    co!pled #ith an opponent-s negative ads %>ahn and 1eer& 8;;?'. *or this reason& #e

    co!ld spec!late that candidates may r!n negative ads #here an opponent is r!nning

    negative ads in order to diminish the effectiveness of the opponent-s initial ad. Di(e#ise&

    a candidate may r!n a negative ad in an area #here an opponent is not r!nning negative

    ads in order to increase the ad-s effectiveness.

    According to *reedman and 1oldstein& e+pos!re to television ads is a f!nction of

    t#o things: the fre/!ency #ith #hich an advertisement is aired in a partic!lar media

    mar(et and the /!antity of television vie#ing $y a partic!lar respondent4 %*reedman and

    1oldstein& 8;;;. p. 88;8'. "hey go on to point o!t that #hen television vie#ing and the

    vol!me of advertising increase& the pro$a$ility of e+pos!re rises. $vio!sly& if a person

    #atches television every min!te of every day& he or she has no li(elihood of seeing a

    partic!lar ad if it is not aired in his)her media mar(et.

    *lo#ers& 7aynes and Crespin fo!nd that regarding the strategy of a candidate to

    #in an election& he)she #ill chose a messaging tactic that attempts to !pset the e+isting

    ran(ing and shift the $alance of the race $y slo#ing the moment!m of the lead candidate4

    %*lo#ers& 7aynes and Crespin& 2009. p. 2B0'. hile the researchers do not relate this to

    negative advertising& it is fair to ass!me that r!nning negative advertisements #o!ld $e

    a$le to slo# the moment!m4 of a candidate $y pointing o!t fla#s of an opponent.

    *!rther& if the negative ad garners eno!gh attention and helps shift votes to the candidate

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    r!nning the ad %as #as previo!sly cited as a possi$ility'& the negative ad co!ld help !pset

    the e+isting ran(ing.4 Accordingly& #e can ass!me that campaign strategy is certainly

    tied into the decision to r!n negative ads.

    An important aspect of campaign strategy is the #eighing of costs against

    $enefits. As #e have learned thro!gho!t the aforementioned research& negative

    campaigning has clear dra#$ac(s. 7o#ever& it is the o$ of a campaign strategist to

    decide if the $enefits of negative ads #ill o!t#eigh these dra#$ac(s eno!gh to ma(e

    them #orth#hile. n 2002& 6avid 6amore arg!ed that negative campaigning may

    provide candidates #ith an opport!nity to control their o#n& as #ell as their opponents-

    messages %6amore& 2002'. *or e+ample& if a candidate chooses to r!n an attac( ad& they

    can $e almost certain that their opponent #ill respond to the ad. n this sense& a candidate

    can ma(e4 an opponent foc!s on an iss!e or topic& th!s controlling4 the opponent-s

    messages. "his can $e seen as a $enefit for n!mero!s reasons& not the least of #hich is

    the o$vio!s advantage of $eing a$le to form!late the direction the campaign. Another

    advantage of this campaign strategy of negative advertising is that going negative can

    provide candidates #ith a means of !ndermining their opponents s!pport4 %6amore&

    2002. p. B@8' $y forcing an opponent to foc!s on an iss!e %in response to an attac( ad'

    that may not have $een on his)her agenda prior to #hen the negative ad #as aired.

    *!rther& research has sho#n that voters respond !nfavora$ly to candidates that !mp

    aro!nd4 in iss!es& addressing a n!m$er of iss!es& rather than staying strongly foc!sed on

    !st a handf!l of topics %6amore& 2002'. ,y forcing an opponent to respond to a negative

    ad& a candidate may $e a$le to ma(e his)her challenger !mp aro!nd4& and th!sly lose

    s!pport.

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    Another important iss!e to e+amine as far as #here candidates choose to r!n

    negative ads relates to voter t!rno!t. Almost any political scientist #ill cite ed!cation&

    strength of partisanship& campaign interest& religio!s $eliefs& and age %among other

    things' as factors relating to voter t!rno!t. Perhaps candidates choose to r!n negative ads

    $ased on a 6MA-s strength of partisanship& average voter age& etc. *reedman and

    1oldstein foc!sed their research on the effects of ed!cation& gender& race& etc. #ith the

    e+pos!re to negative advertisements. "hey then !sed this research to st!dy the effects on

    voter t!rno!t. "he researchers fo!nd that the effects of negative ads are positive4

    %*reedman and 1oldstein& 8;;;. p. 8200'. "he researchers s!mmari5ed that they $elieve

    that e+pos!re to campaign ads& $oth positive and negative& have a generally positive

    impact. 7o#ever& they stress that it is primarily the negative spots that have a

    mo$ili5ing effect on voters4 %*reedman and 1oldstein& 8;;;. p. 8200'.

    "he final& and perhaps most o$vio!s& iss!e to e+amine regarding campaign

    strategy and negative ads is the competitiveness of an election. N!mero!s researchers

    agree that strategic decisions made for campaigns often depend on the nat!rally

    competitive nat!re of elections. *or years& research has s!pported the notion that

    candidates !se their reso!rces $ased on strategic decisions. Namely& candidates #ill !se

    their reso!rces in #ays that #ill $est increase their chances of #inning. As #e have

    already disc!ssed& candidates often !se television advertisements %in this case& negative

    ads' to garner attention and votes. t #o!ld follo#& therefore& that in a more competitive

    race& a candidate #o!ld $e more li(ely to r!n negative advertisements& as the necessity

    for votes in these areas are cr!cial. n his 8;@2 $oo(& 6avid Adamany agrees #ith this

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    idea and identifies the positive relationship $et#een competition and campaign

    e+pendit!res %Adamany& 8;@2'.

    More recent research points to competitiveness as a reason for increases in the

    n!m$er of ads& as #ell. n his 8;;; article& 6aron Sha# e+amined the Electoral College

    campaigning strategies $et#een 8;

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    campaigning& it is important to e+amine the impacts of specifically negative campaigns.

    ,y gaining a $etter !nderstanding of the impacts of these campaigns& #e can e+amine

    #hy candidates seem to fall $ac( on negative advertising& especially #hen the vie#ing

    p!$lic often vie# these (inds of ads as meanspirited or !nethical. *!rther& it is important

    to !nderstand #hy candidates choose to r!n these negative ads in some media mar(ets&

    #hile refraining from doing so in other mar(ets.

    Hypothesis

    Dittle research has $een done regarding #hy candidates choose certain areas to

    r!n negative ads& and not others. *or this reason& can only ma(e spec!lations. As

    previo!sly stated& certain factors s!ch as competitiveness of race& ed!cation& strength of

    partisanship& campaign interest& religio!s $eliefs& and age %among other things' as are

    often cited as having a direct relationship to voter t!rno!t. My spec!lations stem from a

    more specified relation $et#een these factors and voter t!rno!t& and negative ad

    campaigns.

    ,ased on all this research& hypothesi5e that in the 2000 election& ,!sh chose to

    r!n more negative ads in 6MAs #here the race #as more competitive %specifically& in

    mar(ets #here one candidate had $et#een ?0B0 percent of the vote'.

    n essence& arg!e that there is a relationship $et#een negative ads and

    competitiveness: the tighter the race in a 6MA& the greater the li(elihood that this #as an

    area in #hich ,!sh ran negative ads.

    $elieve that my hypothesis that ,!sh chose to r!n negative ads in 6MAs #ith

    tighter races ma(es sense $eca!se it is #idely agreed that one of the most important

    aspects of a presidential race is competitivenessG a candidate is !nli(ely to #aste money

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    and effort on a mar(et that is clearly going to $e a s!re #in for either candidate. *or

    e+ample& it #o!ld $e fr!itless for ,!sh to have spent tho!sands of dollars on negative ads

    in ashington& 6.C. as this 6MA is one of the most li$eral mar(ets in the co!ntry. "his

    mar(et #as a s!re #in4 for the democratic candidate.

    7o#ever& if ,!sh #as competing #ith 1ore in a close4 mar(et %#here one

    candidate #as reported to have $et#een ?0B0 of the vote'& he #o!ld $e more li(ely to

    r!n negative ads there $eca!se it #o!ld $e more li(ely that he #o!ld $e a$le to either tip

    the scales in favor of himself& or to solidify the vote even more. ,eca!se of the

    competitive nat!re of elections& and the important role competitiveness plays in

    presidential elections& propose the hypothesis that ,!sh chose to r!n more negative ads

    in 6MAs #here the race #as more competitive %specifically& in mar(ets #here one

    candidate had $et#een ?0B0 percent of the vote'.

    e+pect that my t#o varia$les %negative ads and competitiveness of mar(ets' #ill

    have a direct relation& or covariation. anticipate that #hen there is a tighter race in a

    6MA& there #ill also $e a higher n!m$er of negative ads r!n $y ,!sh. also $elieve that

    the t#o varia$les are directly and ca!sally related. $elieve that ,!sh-s campaign choice

    to r!n negative ads is dependent on ho# tight the race is in the respective mar(et. n

    other #ords& the negative ads #ere r!n "ecauseof the competitiveness of the mar(etG a

    mar(et did not $ecome a tight mar(et4 $eca!se of the n!m$er negative ads r!n there.

    don-t $elieve that there is a matter of nonsp!rio!sness #here a third varia$le e+plains

    high levels of $oth negative ads and competition.

    Another independent varia$le that #o!ld have li(ed to e+amine is the n!m$er of

    independent or !ndecided voters in each 6MA. ,ased off the research of >ahn and 1eer

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    %8;;?'& #hich arg!es that negative advertisements are effective& it #o!ld seem li(ely for

    a candidate to r!n negative ads in these states that contain a large n!m$er of mismatched

    partisans& !ndecided voters& or ndependents. *reedman and 1oldstein researched the

    hypothesis that negative ads have a demo$ili5ing effect for ndependents. "hey fo!nd&

    ho#ever& that there #as no sort of demo$ili5ing phenomenon associated #ith negative ad

    campaigns and ndependent voters %*reedman and 1oldstein& 8;;;'.

    >ahn and 1eer fo!nd that negative ads $ecame less effective #hen co!pled #ith

    an opponent-s negative ads %>ahn and 1eer& 8;;?'. *or this reason& #e co!ld f!rther

    spec!late that candidates may r!n negative ads #here an opponent is r!nning negative

    ads in order to diminish the effectiveness of the opponent-s initial ad. Di(e#ise& a

    candidate may r!n a negative ad in an area #here an opponent is not r!nning negative ads

    in order to increase the ad-s effectiveness.

    Unfort!nately& there is virt!ally no #ay to ac/!ire information on ho# many

    independent or !ndecided reside in 6MAs& or even in different co!nties for that matter.

    *or this reason& m!st ga!ge this information $y e+amining ho# tight4 races are in each

    co!nty. n this analysis& =0 of the vote #o!ld $e the most competitive possi$le race.

    As the vote totals diverge from =0 in either direction& then the race in that 6MA is less

    competitive. "herefore& ass!me that ,!sh ran ads in areas #here the races #ere the

    most competitive. ,y doing this& am ass!ming that many 6MAs #ith tight4 races are

    competitive $eca!se of a large n!m$er of independent %and therefore s#aya$le4' voters

    in these areas.

    Additionally& as previo!sly stated& one of the most important aspects of a

    presidential race is competitivenessG a candidate is !nli(ely to #aste money and effort on

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    a mar(et that is clearly going to $e a s!re #in for either candidate. ,eca!se of the

    competitive nat!re of elections& and the important role competitiveness plays in

    presidential elections& propose the hypothesis that ,!sh chose to r!n more negative ads

    in 6MAs #here the race #as more competitive %specifically& in mar(ets #here one

    candidate had $et#een ?0B0 percent of the vote'.

    also $elieve that one of the #ays ,!sh ga!ged the competitiveness of a 6MA

    #as $y e+amining the res!lts of past elections. Specifically& hypothesi5e that if a

    mar(et had a tight race4 in 8;;B& ,!sh #o!ld $e more li(ely to r!n negative ads in these

    6MAs in 2000.

    Methods

    n order to analy5e the /!estion& it is important to define the terms of the /!estion.

    Negative Television Advertisementsare defined as any political television

    advertisements that attac( an opponent-s personality traits or vie#s on

    iss!es. *or the p!rposes of this paper& negative ads4 #ill have the same

    meaning as negative political advertisements4.

    Media Markets are defined $y their respective designated mar(et area

    %6MA'. "hese mar(ets are identified $y the closest& largest city. "here

    are 280 6MAs in the United States& #ith 8 $eing the largest mar(et of

    Ne# For( City and 280 $eing the smallest mar(et of 1lendive& Montana.

    chose the 2000 Presidential Election $eca!se it is the most recent dataset availa$le for

    this proect. hile the 200? Presidential Election #o!ld have $een interesting to analy5e&

    datasets from this election have not yet $een released. Additionally& #anted to foc!s on

    the #inning candidate-s advertising. *!rther& feel that the 2000 dataset #ill provide

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    e/!ally interesting and telling information and analysis opport!nities as its 200?

    co!nterpart.

    ac/!ired my information from the 2000 Presidential Election iscAds dataset

    ac/!ired from the isconsin Advertising Proect at the University of isconsin

    Madison-s department of Political Science. My independent varia$le #as the level of

    election competitiveness in vario!s 6MAs. My dependent varia$le #as the negative

    advertisements. My !nit of analysis #as the vario!s 6MAs #here the advertisements

    ran. Altho!gh there are 280 6MAs& chose to !se the top @= as collected $y the

    isconsin Advertising Proect in my research. did this $eca!se over

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    to find o!t the co!nty corresponding to each 6MA& !sed maps fo!nd in the

    aforementioned reference $oo( and fo!nd the dominant city in each mar(et& and then

    fo!nd the co!nty to #hich that city $elonged. then p!t that information into the chart

    located in Appendi+ A. !sed the Koted ,!sh4 information as a varia$le in my

    crossta$ %renamed as ,!sh Kote4'.

    n order to analy5e my data& first ran a crossta$ #ith ad tone4 %respondents

    vie#ed n!mero!s political ads and ans#ered #hether they tho!ght the ad #as attac(4

    promote4 not applica$le4 or not s!re4' as the dependent varia$le and mar(et location

    as the independent varia$le. chose to r!n ro# percentages& rather than col!mn

    percentages. ,y doing this& co!ld determine the percentage of negative ads %as a

    percentage of total ads' that #ere r!n in each mar(et. *or e+ample& in the Charlotte

    mar(et& =8 of the total ads r!n #ere negative or attac( ads.

    After collecting this information& then entered my o#n dataset into SPSS #ith

    three varia$les: the negative ads %as !st descri$ed'& mar(et location %the top @= 6MAs'&

    and the varia$le titled ,!sh Kote4.

    Ne+t& had to analy5e my hypothesis in order to inp!t a ne# varia$le. According

    to my hypothesis& =0 of the vote #o!ld $e the most competitive possi$le race. As the

    vote totals diverge from =0 in either direction& then the race in that 6MA is less

    competitive. "herefore& ass!me that ,!sh ran ads in areas #here the races #ere the

    most competitive. n order to r!n a regression #ith this in mind& s!$tracted the ,!sh

    vote from =0 and then made all the negative n!m$ers positive. entered in these

    n!m$ers as the varia$le compete4. *or e+ample& in Al$any the ,!sh vote #as 99.=.

    s!$tracted 99.= from =0 %the most competitive race' and ended !p #ith a compete4

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    varia$le of 8B.=. "herefore& in Al$any& the race #as 8B.= !nits a#ay from $eing

    a$sol!tely competitive.4 n >no+ville& ho#ever& the ,!sh vote #as =@.@. s!$tracted

    =@.@ from =0 and ended !p #ith @.@. made that n!m$er positive and fo!nd o!t that

    in >no+ville& the race #as @.@ !nits a#ay from $eing a$sol!tely competitive4.

    >no+ville& therefore& had a more competitive race than Al$any. ,ased on my hypothesis&

    e+pect that ,!sh ran more negative ads in >no+ville than in Al$any.

    *inally& $eca!se had nominal %negative ads' and ratio %compete4' varia$les&

    ran a $ivariate regression and scatter plot for these varia$les. My first regression had the

    dependent varia$le as compete4 and the independent varia$le as the percentage of attac(

    ads.

    n addition to the ,!sh vote& also considered ho# the previo!s Presidential

    election impacted ,!sh-s decision to r!n negative ads in different mar(ets. As stated in

    my hypothesis& $elieve that ,!sh !sed the 8;;B election to ga!ge the competitiveness of

    a mar(et in the 2000 election. According to my hypothesis& $elieve that if 6ole had a

    tight race in certain 6MAs in 8;;B& ,!sh #o!ld $e more li(ely to r!n negative ads in

    these mar(ets. *or this reason& fo!nd it necessary to r!n the same regressions #ith ne#

    varia$les: compete4 and 6ole votes4 from the 8;;B Presidential election. "hese ne#

    varia$les #ere $ased on the ass!mption that perhaps ,!sh chose to r!n negative ads in

    6MAs #here 6ole e+perienced tight races4 #ith Clinton d!ring the 8;;B Presidential

    ace.

    n order to do this& !sed the 8;;B version of America Kotes and fo!nd the

    percentage of votes cast for 6ole in each 6MA $y pairing the mar(et #ith its correlating

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    co!nty %$ased on the graph made for my 2000 data'. *rom this information& made the

    chart located in Appendi+ ,.

    After collecting this information& once again entered my o#n dataset into SPSS

    #ith three varia$les: the negative ads %as previo!sly descri$ed'& mar(et location %the top

    @= 6MAs'& and the varia$le titled 6ole Kote4.

    ,eca!se had nominal %negative ads' and ratio %6ole compete4' varia$les& ran

    a $ivariate regression and scatter plot for these varia$les. My second regression had the

    dependent varia$le as 6ole compete4 and the independent varia$le as the percentage of

    attac( ads. "he latter regression helped me $etter analy5e my data& as it #as more

    concise than the 6ole Kote4)attac( ad regression.

    Analysis

    ,eca!se of the importance of competitiveness in elections& propose the

    hypothesis that ,!sh chose to r!n more negative ads in 6MAs #here the race #as more

    competitive %specifically& in mar(ets #here one candidate had $et#een ?0B0 percent of

    the vote'.

    *ollo#ing my hypothesis& ran t#o scatterplots to determine the relationship

    $et#een the percentage of negative ads and the level of competitiveness in the top @=

    6MAs %or their respective co!nties'.

    My first scatterplot displays the relationship $et#een ,!sh-s choice to r!n

    negative ads in certain 6MAs in 2000 and the competitiveness of those 6MAs in the

    2000 election. "he second scatterplot e+amines the relationship $et#een ,!sh-s choice

    to r!n negative ads in certain 6MAs in the 2000 election and the competitiveness of

    those 6MAs in the 8;;B election.

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    #ra$% &1'(

    Relations%i$ Bet)een "egati!e Ads in 2*** Election and Com$etiti!eness o 2*** Election

    .40.0030.0020.0010.000.00ElectionCometitiveness3020100

    +ariable &2'( Bus% Com$etiti!eness(

    +ariable Coeicient tandard

    Error

    tandardi-ed

    Coeicient

    T

    +alue

    igniicance Adusted

    r /uare

    Constant2=.88@ 8.?@2 [email protected]=< .000

    Com$ete .09< .80? .0?9 .9B< .9B< .082

    Slope of the line: y 2=.88@ .09

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    ashington& 6.C. therefore had one of the lo#est percentages of negative ads. 7o#ever&

    can infer from the graph that or the ads r!n in the ashington 6.C. 6MA&

    appro+imately 20 of the ads #ere negative.

    ,eca!se ass!me that #ith a more competitive race %the closer the election

    competitiveness4 a+is points are to 0' negative campaign ads #ill increase& #as hoping

    to find a large gro!ping of points aro!nd the 90=0 area of Ad "one and the 020 area

    of compete.

    "he largest gro!ping of points is located #here election competitiveness #as

    $et#een 08= and negative ads #ere $et#een 20?0. "his again reflects my

    hypothesis that a more competitive race #ill res!lt in a greater n!m$er of negative ads

    r!n in that media mar(et.

    hile the scatterplot helps !s !nderstand the relationship $et#een election

    competitiveness in 2000 and the percentage of negative ads r!n in that election& it is also

    important to loo( at the statistics in this relationship. "he coefficient of .09< tells me

    that for every point a#ay from competitiveness& the proportion of negative ads decreases

    $y .09

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    $et#een negative ads in 6MAs and the competitiveness of those 6MAs for the same year

    is not as strong as the literat!re s!ggested.

    Ne+t& ran a second scatterplot #ith Ad "one %negative advertisements' and

    election competitiveness. As previo!sly stated& the compete varia$le is a meas!re of

    distance in the 6ole vote from =0G n this case& the lo#er the n!m$er& the more

    competitive the race.

    "he follo#ing scatterplot sho#s the relationship $et#een the overall votes cast for

    6ole in the top @= 6MAs %or their respective co!nties'. *ollo#ing my hypothesis&

    ass!me that for varia$les closer to 0 on the compete a+is& there #ill $e a more dense

    collection of points $et#een 20?0 on the Negative Ad a+is.

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    #ra$% &2'(

    Relations%i$ Bet)een "egati!e Ads in 2*** Election and Com$etiti!eness o 1996 Election

    .40.0030.0020.0010.000.00ElectionCometitiveness3020100

    +ariable &0'( ole Com$ete(

    +ariable Coeicien

    t

    tandar

    d Error

    tandardi-e

    d

    Coeicient

    T

    +alue

    igniicanc

    e

    Aduste

    d

    r /uare

    Constan

    t

    2?.;?9 8.=8B 8B.?=

    8

    .000

    Com$ete .08; .0;? .02? .20? .

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    $eing an a$sol!tely competitive race'. n essence& ashington& 6.C. had the least

    competitive Presidential race of the top @= 6MAs in 8;;B %6ole Hep!$licanI v. Clinton

    H6emocratI'. According to my hypothesis& #o!ld ass!me that ashington& 6.C.

    therefore had one of the lo#est percentages of negative ads in 2000. 7o#ever& can infer

    from the graph that of the ads r!n in the ashington 6.C. 6MA& appro+imately 28 of

    those ads #ere negative or attac( ads.

    ,eca!se ass!me that #ith a more competitive race %the closer the compete a+is

    points are to 0' negative campaign ads #ill increase& #as hoping to find a large

    gro!ping of points aro!nd the 20?0 area of Negative Ads and the 020 area of

    compete. "he largest gro!ping of points is located #here election competitiveness #as

    $et#een 08= and negative ads #ere $et#een 8= and 9=. "his reflects my

    hypothesis that a more competitive race #ill res!lt in a greater n!m$er of negative ads

    r!n in that media mar(et the ne+t election.

    "he first independent varia$le& election competitiveness& sho#s a positive ca!sal

    relationship #ith negative advertising. "he coefficient of .08; tells me that for every

    point a#ay from competitiveness& the proportion of negative ads decreases $y .08;.

    "he ad!sted S/!are tells me ho# m!ch of the variation in my dependent

    varia$le %negative ads' can $e e+plained $y the independent varia$le %in this case&

    election competitiveness4'. Unfort!nately& the lo# s/!are of .089 indicates that

    there is no relationship $et#een the independent and dependent varia$les& s!ggesting that

    the n!m$er of negative ads in a 6MA cannot $e e+plained $y the competitiveness of the

    race in said mar(et. "he significance of this varia$le indicates that it is not statistically

    significant. "he significance of .

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    relationship of this magnit!de if the n!ll #ere tr!e. n similarity #ith my first scatterplot

    and statistics& this relationship $et#een negative ads r!n in certain 6MAs in the 2000

    election and the competitiveness of said 6MAs in the 8;;B election is not as strong as the

    literat!re s!ggested.

    n $oth of the regressions and scatterplots that ran& fo!nd that there #as

    virt!ally no relationship $et#een negative advertisements and election competitiveness.

    Unfort!nately& these #ea( relationships mean that my hypothesis #as disproved. ,!t

    ho#ever disappointing this may $e as a researcher& it is e+citing as a political scientist

    $eca!se it means that the maority of information on campaign strategy and negative

    advertising is fact!ally incorrect.

    Conclusion

    n their 2009 $oo(& Political Advertising the 2000 Elections& highly respected

    political science researchers Joel ivlin and >en 1oldstein arg!ed that #hen a race is

    more competitive& the n!m$er of political advertisements increases dramatically

    %1oldstein L ivlin& 2009'. "his proposed ca!sal relationship $et#een competitiveness

    and political advertisements %in this case& negative ads' is s!pported $y the arg!ments of

    other researchers& as #ell %Adamany& 8;@2G Sha#& 8;;;G Memmett& 200?'. 7o#ever&

    thro!gh my analysis& have disproved my original hypothesis that in the 2000 election&

    ,!sh chose to r!n more negative ads in 6MAs #here the race #as more competitive.

    *!rther& thro!gh this analysis& have concl!sively proven that there is no relationship

    $et#een election competitiveness and the n!m$er of negative ads r!n in certain 6MAs.

    hile do not disp!te the efforts of previo!s research on this topic& nor the idea

    that competitiveness seems to $e the most logical and o$vio!s e+planation for increased

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    negative ads& my findings concl!sively prove that these t#o trends are not ca!sally

    lin(ed.

    "hese !ni/!e findings are important to political science $eca!se they ref!te the

    maority of hypotheses regarding election competitiveness and campaign strategy. ,oth

    older and more recent articles point to competitiveness as a factor determining political

    advertisement placement. 7o#ever& thro!gh the a$ove analysis& #e can see that there is

    no relationship $et#een the n!m$er of negative political ads and the level of

    competitiveness in an election.

    "hese ne# findings raise n!mero!s /!estions& the most o$vio!s $eing #hy do

    political candidates chose to r!n negative ads r!n in some places and not others34 "his

    /!estion points to the important& and apparently mis!nderstood& area of campaign

    strategy. Clearly& f!t!re research needs to foc!s on alternative reasons for increased

    n!m$ers of negative ads in different areas of the co!ntry. ith the n!m$er of negative

    ads on the rise& it is important to gain an !nderstanding into #hy some candidates find

    negative ads to $e s!ch a !sef!l part of political campaigning. Additionally& many voters

    report disli(e for negative ads& so it is important to analy5e #hy candidates #o!ld choose

    to r!n advertisements to #hich the voting p!$lic often has a negative response.

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    eferences

    illie 7orton4 i(ipedia.com. nternet. etrieved Septem$er 82& 200= from:http:))en.#i(ipedia.org)#i(i)illieO7orton

    6avid Detterman Sho# transcript from Novem$er

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    A Handbook of Contemporary American Election Statistics.

    Memmott& M. %ct 89& 200?'. Commercial ar Centers on 80 States. /SA 0oday#

    Sha#& 6. %8;;;'. "he Methods ,ehind the Madness: Presidential Electoral College

    Strategies& 8;

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    Das Kegas Clar( ??.@ =8.9

    De+ington *ayette =8.@ ??.