The characterization and detection of social bots with their presumed ability to manipulate society on social media platforms have been subject to many research endeavors over the last decade, leaving a research gap on the impact of bots and accompanying phenomena on platform users and society. In this systematic data-driven study, we explore the users' perception of the construct bot at a large scale, focusing on the evolution of bot accusations over time. We create and analyze a novel dataset consisting of bot accusations that have occurred on the social media platform Twitter since 2007, providing insights into the meanings and contexts of these particular communication situations. We find evidence that over time the term bot has moved away from its technical meaning to become an "insult" specifically used in polarizing discussions to discredit and ultimately dehumanize the opponent.
翻译:在过去十年中,社会机器人的定性和检测及其在社交媒体平台上操纵社会的能力一直受到许多研究努力的影响,从而在机器人及其伴随现象对平台用户和社会的影响方面留下了一个研究空白。在这项系统化的数据驱动研究中,我们探索了用户对构建机器人的大规模认识,重点是机器人指控的演变。我们创建并分析了2007年以来在社交媒体平台Twitter上出现的由机器人指控组成的新数据集,揭示了这些特定通信情况的含义和背景。我们发现有证据表明,随着时间的推移,机器人一词已经偏离了其技术意义,成为“侮辱”一词,专门用于使讨论两极化,以诋毁和最终使对手非人化。