arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2109.09044cs.HCcs.DLcs.IR
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“不要否决A\$\$s!!“:Reddit的建议社区的探索

"Don't Downvote A\$\$\$\$\$\$s!!": An Exploration of Reddit's Advice Communities

Emily Cannon, Bianca Crouse, Souvick Ghosh, Nicholas Rihn, Kristen Chua

摘要:

咨询论坛是一种众包方式,可以强化文化规范和道德行为。像Reddit这样的网站包含大量的自然语言人类互动,每个子Reddit社区都有独特的规则和规范。为了探索这些数据,我们创建了一个数据集,其中包含来自r/AmItheAsshole和r/relationships这两个论坛的前1000个帖子,并使用算法和手动方法提取了自然语言特征,包括情感,相似性,词频和人口统计。此外,我们开发了一种方法来从子Reddit中提取人口统计信息,研究了帖子作者的自我披露如何反映他们的帖子被共享的独特社区,并讨论了作者的语言使用选择如何与更广泛的社会模式相关。我们观察到subreddit在词频,人口统计信息披露和性别语言方面存在一些差异。总的来说,两个subreddit都有更多的女性海报比男性,海报倾向于使用更多的词语来描述他们的异性。性别多样化的海报并不常见。对未来研究的启示包括更仔细,更包容地关注身份和披露,以及如何与在线社区中的咨询行为相互作用。

英文摘要:

Advice forums are a crowdsourced way to reinforce cultural norms and moral behavior. Sites like Reddit contain massive amounts of natural language human interaction, with rules and norms unique to each individual subreddit community. To explore this data, we created a dataset with top 1000 posts from each of two such forums, r/AmItheAsshole and r/relationships, and extracted natural language features including sentiment, similarity, word frequency, and demographics using both algorithmic and manual methods. Further, we developed a method to extract demographic information from the subreddits, examined how the post authors' self-disclosures reflect the unique communities in which their posts are shared, and discussed how the authors' language use choices might be related to broader social patterns. We observed some differences between the subreddits in terms of word frequency, demographics disclosure, and gendered language. In general, both subreddits had more female posters than male, and posters tended to use more words about their opposite gender than the same. Gender-diverse posters were uncommon. Implications for future research include a more careful, inclusive focus on identity and disclosure and how that interacts with advice-seeking behavior in online communities.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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