Using social media to understand constituent and follower opinions: impact of “low quality” on US Senator information gathering

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Transforming Government- People Process and Policy Pub Date : 2022-06-06 DOI:10.1108/tg-10-2021-0165
Jacob R. Straus
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Abstract

Purpose The purpose of this paper is to understand why some US Senators have more low-quality followers than others and the potential impact of low-quality followers on understanding constituent preferences. Design/methodology/approach For each US Senator, data on Twitter followers was matched with demographic characteristics proven to influence behavior. An OLS regression model evaluated why some Senators attract more low-quality followers than others. Then, observations on the impact of low-quality followers were discussed along with potential effects on information gathering and constituent representation. Findings This study finds that total followers, ideology and length of time on Twitter are all significant predictors of whether a Senator might attract low-quality followers. Low-quality followers can have wide-ranging implications on Senator’s use of social media data to represent constituents and develop public policy. Research limitations/implications The data set only includes Senators from the 115th Congress (2017–2018). As such, future research could expand the data to include additional Senators or members of the House of Representatives. Practical implications Information is essential in any decision-making environment, including legislatures. Understanding why some users, particularly public opinion leaders, attract more low-quality social media followers could help decision-makers better understand where information is coming from and how they might choose to evaluates its content. Social implications This study finds two practical implications for public opinion leaders, including Senators. First, accounts must be actively monitored to identify and weed-out low-quality followers. Second, users need to be wary of disinformation and misinformation and they need to develop strategies to identify and eliminate it from the collection of follower preferences. Originality/value This study uses a unique data set to understand why some Senators have more low-quality followers than others and the impact on information gathering. Other previous studies have not addressed this issue in the context of governmental decision-making or constituent representation.
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利用社交媒体了解选民和追随者的意见:“低质量”对美国参议员信息收集的影响
目的本文的目的是了解为什么一些美国参议员的低质量追随者比其他参议员多,以及低质量追随者对理解选民偏好的潜在影响。设计/方法/方法对于每一位美国参议员来说,推特粉丝的数据都与被证明会影响行为的人口特征相匹配。OLS回归模型评估了为什么一些参议员比其他参议员吸引更多低质量的追随者。然后,讨论了对低质量追随者影响的观察,以及对信息收集和选民代表的潜在影响。发现这项研究发现,总粉丝数、意识形态和在推特上的时间长度都是参议员是否会吸引低质量粉丝的重要预测因素。低质量的追随者可能会对参议员利用社交媒体数据代表选民和制定公共政策产生广泛影响。研究局限性/含义数据集仅包括第115届国会(2017-2018)的参议员。因此,未来的研究可能会扩大数据范围,包括更多的参议员或众议院议员。实际含义信息在任何决策环境中都是必不可少的,包括立法机构。了解为什么一些用户,特别是舆论领袖,会吸引更多低质量的社交媒体追随者,可以帮助决策者更好地了解信息来自哪里,以及他们可能选择如何评估其内容。社会影响这项研究发现了对包括参议员在内的舆论领袖的两个实际影响。首先,必须积极监控账户,以识别和剔除低质量的追随者。其次,用户需要警惕虚假信息和错误信息,他们需要制定策略,从追随者偏好的收集中识别并消除这些信息。原创性/价值这项研究使用了一个独特的数据集来了解为什么一些参议员的低质量追随者比其他参议员多,以及对信息收集的影响。以前的其他研究没有在政府决策或选民代表的背景下解决这个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transforming Government- People Process and Policy
Transforming Government- People Process and Policy INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
6.70
自引率
11.50%
发文量
44
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