Department of Applied Mathematics, University of California, Merced, CA, United States of America.
Department of Cognitive & Information Sciences, University of California, Merced, CA, United States of America.
PLoS One. 2023 Jun 8;18(6):e0286524. doi: 10.1371/journal.pone.0286524. eCollection 2023.
We investigate perceptions of tweets marked with the #BlackLivesMatter and #AllLivesMatter hashtags, as well as how the presence or absence of those hashtags changed the meaning and subsequent interpretation of tweets in U.S. participants. We found a strong effect of partisanship on perceptions of the tweets, such that participants on the political left were more likely to view #AllLivesMatter tweets as racist and offensive, while participants on the political right were more likely to view #BlackLivesMatter tweets as racist and offensive. Moreover, we found that political identity explained evaluation results far better than other measured demographics. Additionally, to assess the influence of hashtags themselves, we removed them from tweets in which they originally appeared and added them to selected neutral tweets. Our results have implications for our understanding of how social identity, and particularly political identity, shapes how individuals perceive and engage with the world.
我们研究了带有#BlackLivesMatter 和#AllLivesMatter 标签的推文的认知，以及这些标签的存在或缺失如何改变了美国参与者对推文的意义和后续解释。我们发现党派立场对推文的认知有很大影响，例如，政治左派的参与者更有可能认为#AllLivesMatter 推文是种族主义和冒犯性的，而政治右派的参与者更有可能认为#BlackLivesMatter 推文是种族主义和冒犯性的。此外，我们发现政治身份比其他衡量的人口统计学因素更能解释评估结果。此外，为了评估标签本身的影响，我们从最初出现标签的推文中删除了标签，并将其添加到选定的中性推文中。我们的研究结果对我们理解社会身份，特别是政治身份如何塑造个人对世界的认知和参与具有重要意义。
