媒介素养中Bot信息的模式识别

Eric Ferreira dos Santos, Danilo S. Carvalho, Jonice Oliveira
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引用次数: 0

摘要

如今,在线社交媒体的大量使用已成为现实。这种不断增加的使用也增加了社交媒体中恶意活动的增长,其中之一是使用自动用户(机器人)传播虚假信息,并可以在对收集的社交媒体数据进行的分析中插入偏见。基于媒介素养的概念,本研究提出了一种教人类用户识别机器人生成的文本模式的方法,为分析社交媒体文本提供了一种工具(指南)。学会用指南识别机器人用户的用户在新信息分类方面的平均准确率为90%,而没有与指南接触的参与者的准确率为57%。制作的指南得到了参与者4到5之间的有用性评级(从1到5,5是最高的值)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pattern Identification of Bot Messages for Media Literacy
The massive use of online social media is a reality nowadays. Such an increasing usage also raises growth in malicious activities in social media, one of which is the use of automated users (bots) that disseminate false information and can insert bias in analyses done on gathered social media data. Based on the concept of media literacy, this research presents a method to teach the human user to identify a pattern of a text produced by a bot, providing a tool (guide) to analyze social media text. Users who learned to identify a bot user with the guide had an average of 90% accuracy in the classification of new messages, against 57% of the participants who had no contact with the guide. The produced guide received a usefulness rating between 4 and 5 by the participants (scale from 1 to 5, with 5 being the highest value).
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