Use of bot and content flags to limit the spread of misinformation among social networks: a behavior and attitude survey.
Use of bot and content flags to limit the spread of misinformation among social networks: a behavior and attitude survey.
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使用机器人程序和内容标志限制社交网络中错误信息的传播：行为和态度调查。
DOI：
10.1007/s13278-021-00739-x
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发表时间：
2021
影响因子：
2.8
通讯作者：
MacKenzie WI Jr
中科院分区：
文献类型：
--
作者：
Lanius C;Weber R;MacKenzie WI Jr
COVID-19的Infodecity由Twitter机器人部分驱动。要查看来自机器人帐户的推文和包含错觉的推文是否可以降低参与者的自我报告的参与度，并参与了这推文。参与者的推文与以前持有的信念保持一致，以确定旗帜如何影响他们的整体意见。 Facebook或Fox新闻也改变了标语的结果。社交媒体公司可以将可疑或不准确的内容标记为打击错觉的一种方式。
The COVID-19 infodemic is driven partially by Twitter bots. Flagging bot accounts and the misinformation they share could provide one strategy for preventing the spread of false information online. This article reports on an experiment (N = 299) conducted with participants in the USA to see whether flagging tweets as coming from bot accounts and as containing misinformation can lower participants’ self-reported engagement and attitudes about the tweets. This experiment also showed participants tweets that aligned with their previously held beliefs to determine how flags affect their overall opinions. Results showed that flagging tweets lowered participants’ attitudes about them, though this effect was less pronounced in participants who frequently used social media or consumed more news, especially from Facebook or Fox News. Some participants also changed their opinions after seeing the flagged tweets. The results suggest that social media companies can flag suspicious or inaccurate content as a way to fight misinformation. Flagging could be built into future automated fact-checking systems and other misinformation abatement strategies of the social network analysis and mining community.
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