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Electoral Consequences of Political Rumors: Motivated Reasoning, Candidate Rumors, and Vote Choice during the 2008 U.S. Presidential Election

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Using national telephone survey data collected immediately after the 2008 U.S. presidential election (N = 600), this study examines real-world consequences of inaccurate political rumors. First, individuals more willingly believe negative rumors about a candidate from the opposing party than from their party. However, rumor rebuttals are uniformly effective and do not produce backfire effects. Second, the probability of voting for a candidate decreases when rumors about that candidate are believed, and believing rumors about an opposed candidate reinforces a vote for the preferred candidate. This belief-vote link is not a result of the spurious influence of party affiliation, as rumor belief uniquely contributes to vote choice. The evidence suggests political rumoring is not innocuous chatter but rather can have important electoral consequences.
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... However in general, rumors can be understood as unverified information or statements shared by among people that may be positive or negative and they circulate without confirmation [1]. Psychologically, rumors spread because people needs factual information, self enhancement, and social enhancement, as three key motivations in rumor transmission intentions [1], [2]. Consequently, rumors become an inevitable part of human life, including in political aspects, such as elections. ...
... Secondly, we performed the main simulations of the rumor dynamics in Model (1), as shown in Figure (4) and (5). The transmission rates of the rumor were based on the values of α 1 and α 2 listed in Table (2). In accordance with the numerical experiments from the previous section, the input parameters yields R 0 = 3.804 > 1, indicating the rumor will continue to circulate and remain stable in society. ...
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Rumors can be defined as unverified information or statements shared by people that may be positive or negative and circulate without confirmation. Since humans naturally seek factual information for social and self-enhancement purposes, rumors become an inevitable aspect of human life, including in politics, such as elections. The complexity of the electoral process, with various factors such as individual candidates, social circumstances, and particularly the media, leads to the dynamic spread of rumors in society. Thus, it is both interesting and important to understand the dynamics of rumor spreading, particularly in the context of elections. In this article, we formulate a mathematical model of rumor spread dynamics based on different attitudes of people toward rumors. The model considers the spread of rumors about two candidates in the electoral context. From the model, we derived and investigated the basic reproductive number (R0) as a threshold for rumor spread and conducted a sensitivity analysis with respect to all the model parameters. Based on numerical experiments and simulations, it was revealed that the number of people resistant to or disbelieving in rumors increases significantly in the first ten days and remains higher than other subpopulations for at least after first seven days. Furthermore, we found that a high number of people directly affected by rumors, combined with the rumor transmission rate for both candidates being greater than each other, are necessary and sufficient conditions for rumors to circulate rapidly and remain stable in society. The results of this study can be interpreted and considered as a campaign strategy in an electoral context.
... Research from high-income democracies around the world has provided evidence of the detrimental consequences of misinformation on the conduct and outcome of elections. In theUnited States, for example, survey data from the 2008 presidential election found that the endorsement of negative rumors about Barack Obama was associated with a reduced likelihood of voting for him (Weeks and Garrett 2014). Similar evidence from Washington State (Reedy et al. 2014) and Oregon (Gastil et al. 2018) utilizing cross-sectional and panel data, respectively, revealed that disinformation influenced voter support for ballot measures on each state's electoral ticket. ...
... Individuals are more likely to believe political information that aligns with their partisan beliefs and less likely to believe information that does not align with these beliefs (Lodge and Taber 2013;Weeks and Garrett 2014), as partisan motivated reasoning drives individuals with strong political attachments to defend their existing beliefs even in the face of otherwise compelling evidence (Flynn et al. 2017;Peterson and Iyengar 2021). Political misinformation can be more difficult to counter than apolitical misinformation due to partisan attachments (Kunda 1990;Garrett et al. 2013), with the effectiveness of fact-checking methods yielding mixed results (Hameleers and van der Meer 2020;Iyengar and Hahn 2009;Nyhan and Reifler 2010). ...
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... 146 Currently, applied psychology is consistently and aggressively used in media during pre-election campaigns. 150,151 Whether anti-populism or moralism is sufficient against populism 152,153 is a moot question. Selfserving attribution bias describes people's willingness to cast themselves in a favorable light [154][155][156] German sociologist Maximilian Carl Emil Weber (1864-1920) defined power as "any chance of opposing one's will against reluctance within a social relationship, as well as what that opportunity is based on". ...
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... Due to PMR, individuals may be particularly susceptible to negative information or rumors about opposing parties, which can directly influence their voting behavior (Jennings and Stroud 2023;Morris et al. 2020;Weeks and Garrett 2014). The impact of partisanship extends to misinformation, with individuals more likely to believe questionable claims that resonate with their partisan leanings and dismiss those that do not (Flynn et al. 2017;Jennings and Stroud 2023;Vegetti and Mancosu 2020). ...
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