When to Attack
The Trajectory of Congressional Campaign Negativity
Bibliographic Data
| ID | 6180153 |
|---|---|
| Authors | Hans J G Hassell (0000-0002-6679-4849, Cornell University, corresponding author), Kelly R Oeltjenbruns (Cornell University) |
| Year | 2016 |
| Volume | 44 |
| Issue | 2 |
| Pages | 222-246 |
| Publication date | 2016-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Politics Research (JOURNAL) |
| Journal identifiers | ISSN: 1532-673X • E-ISSN: 1552-3373 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1532673x15589613 |
| OpenAlex | W2195980099 |
| Language | EN |
| Citations received | 18 |
| References cited | 32 |
While the study of the use of negative campaign tactics has been a prolific topic of scholarship, previous studies have been limited in their ability to test the dynamics of negativity over the course of the campaign because their analysis of content from political campaigns is either static in nature or limited in its scope. Although we know that the closeness of the race, the status of the candidate as an incumbent or a challenger, and other characteristics affect the volume of negativity over the entire campaign, we know little about how these factors affect when candidates choose to go negative. Using a unique data set of over 1,400 emails sent out by campaigns from a random sample of congressional districts in 2012, we examine negativity over the course of the campaign. We find that the dynamics of negativity vary by whether there is an incumbent in the race
Advertising · Business · Closeness · Negativity effect · Political science · Politics · Scholarship · Communication · Computer Science · Electoral Systems and Political Participation · Law · Media Influence and Politics · Psychology · Social Media and Politics · Social Psychology
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Mixing messages
Two-stage classifier for detecting campaign negativity with axis embeddings in persian tweets
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Sit Still, Talk Pretty
Unleash Britain’s Potential (To Go Negative)
Negative Descriptive Social Norms and Political Action
It’s Who’s on the Inside that Counts
Desperate Times Call for Desperate Measures
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Research Note
Manipulative tactics are the norm in political emails
The nature and impact of emotional content in congressional candidate emails to supporters
Social Media, Opinion Polls, and the Use of Persuasive Messages During the 2016 US Election Primaries
Negative Campaigning
Campaigning for Hearts and Minds
The Spectacle of U.S. Senate Campaigns
Designing Effective Web Surveys
Attitudes vs. Actions
Local Political Context and Negative Campaigns
Looking Beyond the Voting Constituency
The Seats in Trouble Forecast of the 2010 Elections to the U.S. House
Variability in Citizens’ Reactions to Different Types of Negative Campaigns
The Web and U.S. Senatorial Campaigns 2000
Negative, Angry, and Ubiquitous
Campaign Communications in U.S. Congressional Elections
The Rational Attacker in Russia? Negative Campaigning in Russian Presidential Elections
Campaign Tactics and the Decision to Attack
Who Gets the News? Alternative Measures of News Reception and Their Implications for Research
Explaining Perceptions of Advertising Tone
The Persuasive Effects of Partisan Campaign Mailers
Campaign Politics and the Digital Divide
Timeless Strategy Meets New Medium
Lessons Learned
Do Online Advertisements Increase Political Candidates’ Name Recognition or Favorability? Evidence from Randomized Field Experiments
Election Campaigning on the WWW in the USA and UK
Negative Campaigning by US Senate Candidates
The Media, the Campaign, and the Message
Measuring Media Exposure and the Effects of Negative Campaign Ads
Twitter Style
Modeling Negative Campaigning
Attitudes and Behavior
Public Opinion and Public Ignorance
| Unique citing works | 18 |
|---|---|
| Citations per year | 1,8 |
| Citation span | 2016 - 2025 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 17 |