Department of Geography and Planning, Geographic Data Science Lab, University of Liverpool, Liverpool, United Kingdom.
PLoS One. 2024 Sep 4;19(9):e0307917. doi: 10.1371/journal.pone.0307917. eCollection 2024.
Immigration is one of the most salient topics in public debate. Social media heavily influences opinions on immigration, often sparking polarized debates and offline tensions. Studying 220,870 immigration-related tweets in the UK, we assessed the extent of polarization, key content creators and disseminators, and the speed of content dissemination. We identify a high degree of online polarization between pro and anti-immigration communities. We found that the anti-migration community is small but denser and more active than the pro-immigration community with the top 1% of users responsible for over 23% of anti-immigration tweets and 21% of retweets. We also discovered that anti-immigration content spreads also 1.66 times faster than pro-immigration messages and bots have minimal impact on content dissemination. Our findings suggest that identifying and tracking highly active users could curb anti-immigration sentiment, potentially easing social polarization and shaping broader societal attitudes toward migration.
移民是公共辩论中最突出的话题之一。社交媒体对移民问题的看法影响很大,经常引发两极分化的辩论和线下紧张局势。我们研究了英国 220870 条与移民相关的推文,评估了两极分化的程度、主要的内容创作者和传播者,以及内容传播的速度。我们发现,支持和反对移民的社区在网上存在高度分化。我们发现,反移民社区虽然规模较小,但比支持移民的社区更密集、更活跃,排名前 1%的用户发布的反移民推文占比超过 23%,转发量占比超过 21%。我们还发现,反移民内容的传播速度也比支持移民的信息快 1.66 倍,而且机器人对内容传播的影响微乎其微。我们的研究结果表明,识别和跟踪高度活跃的用户可能有助于抑制反移民情绪,从而有可能缓解社会两极分化,并塑造更广泛的社会对移民的态度。