论文标题
Twitter ISIS用户的纵向数据集
A Longitudinal Dataset of Twitter ISIS Users
论文作者
论文摘要
我们提供了来自两组涉嫌与ISIS相关的两组用户的大型推文纵向数据集。根据先前的研究和旨在关闭ISIS Twitter帐户的广告系列确定这些用户集。这些用户至少在2014年至2015年间与已知的ISIS帐户接触一次，并且截至2021年仍然活跃。其中一些用户通过转发来直接支持ISIS用户及其推文，并且一些引用ISIS推文的用户，与ISIS种子帐户有不确定的联系。这项研究和数据集代表了分析ISIS数据的独特方法。尽管关于ISIS在线活动的研究有很多研究，但很少有研究集中在个人帐户上。我们验证帐户的方法以及为区分帐户功能（例如宣传与运营计划）的框架提供了一个框架，为将来的研究提供了基础。我们对收集的数据进行了一些描述性统计和初步分析，以提供更深入的洞察力并强调此类分析的重要性和实用性。我们进一步讨论了几个跨学科的潜在用例和研究方向。
We present a large longitudinal dataset of tweets from two sets of users that are suspected to be affiliated with ISIS. These sets of users are identified based on a prior study and a campaign aimed at shutting down ISIS Twitter accounts. These users have engaged with known ISIS accounts at least once during 2014-2015 and are still active as of 2021. Some of them have directly supported the ISIS users and their tweets by retweeting them, and some of the users that have quoted tweets of ISIS, have uncertain connections to ISIS seed accounts. This study and the dataset represent a unique approach to analyzing ISIS data. Although much research exists on ISIS online activities, few studies have focused on individual accounts. Our approach to validating accounts as well as developing a framework for differentiating accounts' functionality (e.g., propaganda versus operational planning) offers a foundation for future research. We perform some descriptive statistics and preliminary analyses on our collected data to provide deeper insight and highlight the significance and practicality of such analyses. We further discuss several cross-disciplinary potential use cases and research directions.
