Diana Camila Garzón‐Velandia, María Idaly Barreto‐Galeano, José Manuel Sabucedo‐Cameselle
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Findings showed that communicative strategies often exhibited high indicators of ingroup bias in contexts without political violence, resulting in lower polarization that increased with positive emotions and a forward‐looking perspective. Conversely, in contexts of political violence, strategies shifted towards outgroup discrimination and delegitimization. Positive emotions decreased polarization in these situations, while a past focus intensified it. The study concluded that affective polarization could indicate the willingness to pursue reconciliation in violent contexts. Consequently, this research provides a map of emotions associated with polarization.Public significance statementTwo studies conducted in Spain and Colombia analyzed how political figures and users of the social network X communicate during elections. It was identified that the use of emotions can contribute to political polarization in both populations. 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引用次数: 0
摘要
社交媒体上的政治极化,尤其是竞选期间的政治极化,已成为人们日益关注的问题。本研究旨在评估政治传播中的情感极化程度,同时考虑时间取向、去合法化信念和群体间情感。我们进行了两项研究:一项是在西班牙安达卢西亚选举期间,另一项是在哥伦比亚总统竞选期间。两项研究都对候选人和 X 用户的推文进行了分析。语言分析被用来开发一种指数,用于测量语言片段中的情感极化。该指数为缺乏政治极化心理过程的语言测量工具提供了一种替代方法。研究结果表明,在没有政治暴力的情况下,交际策略往往表现出较高的内群体偏见指标,从而导致较低的两极分化,并随着积极情绪和前瞻性视角的增加而增加。相反,在有政治暴力的情况下,交流策略则转向外群体歧视和去合法化。在这种情况下,积极情绪会降低两极分化,而对过去的关注则会加剧两极分化。研究得出的结论是,情感极化可以表明在暴力环境中寻求和解的意愿。公共意义声明在西班牙和哥伦比亚进行的两项研究分析了政治人物和社交网络 X 用户在选举期间的沟通方式。研究发现,在这两个国家的人群中,情绪的使用会助长政治极化。积极情绪可以通过美化自己的群体来加剧两极分化,而消极情绪则可以通过攻击对手来助长两极分化。
When political elites talk, citizens reply. Affective polarization through temporal orientation and intergroup emotions
Political polarization on social media, particularly during electoral campaigns, has become a growing concern. This study aimed to assess levels of affective polarization in political communication, considering temporal orientation, delegitimizing beliefs, and intergroup emotions. Two studies were conducted: one during the Andalusian elections in Spain, and another during the Colombian presidential campaign. Tweets from candidates and X users were analyzed in both studies. Linguistic analysis was used to develop an index for measuring affective polarization in linguistic pieces. This index offers an alternative to the lack of linguistic measurement tools for psychological processes regarding political polarization. Findings showed that communicative strategies often exhibited high indicators of ingroup bias in contexts without political violence, resulting in lower polarization that increased with positive emotions and a forward‐looking perspective. Conversely, in contexts of political violence, strategies shifted towards outgroup discrimination and delegitimization. Positive emotions decreased polarization in these situations, while a past focus intensified it. The study concluded that affective polarization could indicate the willingness to pursue reconciliation in violent contexts. Consequently, this research provides a map of emotions associated with polarization.Public significance statementTwo studies conducted in Spain and Colombia analyzed how political figures and users of the social network X communicate during elections. It was identified that the use of emotions can contribute to political polarization in both populations. Positive emotions can exacerbate polarization by glorifying one's group, while negative emotions can fuel polarization through attacks on opponents.
期刊介绍:
Recent articles in ASAP have examined social psychological methods in the study of economic and social justice including ageism, heterosexism, racism, sexism, status quo bias and other forms of discrimination, social problems such as climate change, extremism, homelessness, inter-group conflict, natural disasters, poverty, and terrorism, and social ideals such as democracy, empowerment, equality, health, and trust.