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Journal ArticleDOI

A Large-scale Behavioural Analysis of Bots and Humans on Twitter

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TLDR
A comparative analysis of the usage and impact of bots and humans on Twitter—one of the largest OSNs in the world— draws clear differences and interesting similarities between the two entities.
Abstract
Recent research has shown a substantial active presence of bots in online social networks (OSNs). In this article, we perform a comparative analysis of the usage and impact of bots and humans on Twitter—one of the largest OSNs in the world. We collect a large-scale Twitter dataset and define various metrics based on tweet metadata. Using a human annotation task, we assign “bot” and “human” ground-truth labels to the dataset and compare the annotations against an online bot detection tool for evaluation. We then ask a series of questions to discern important behavioural characteristics of bots and humans using metrics within and among four popularity groups. From the comparative analysis, we draw clear differences and interesting similarities between the two entities.

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References
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Journal ArticleDOI

A Coefficient of agreement for nominal Scales

TL;DR: In this article, the authors present a procedure for having two or more judges independently categorize a sample of units and determine the degree, significance, and significance of the units. But they do not discuss the extent to which these judgments are reproducible, i.e., reliable.
Proceedings ArticleDOI

Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter

TL;DR: This paper examines the practice of retweeting as a way by which participants can be "in a conversation" and highlights how authorship, attribution, and communicative fidelity are negotiated in diverse ways.
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The rise of social bots

TL;DR: In this article, the authors discuss the threat posed by today's social bots and how their presence can endanger online ecosystems as well as our society, and how to deal with them.
Journal ArticleDOI

The Rise of Social Bots

TL;DR: In this paper, the authors discuss the characteristics of modern, sophisticated social bots and how their presence can endanger online ecosystems and our society, and review current efforts to detect social bots on Twitter.
Journal ArticleDOI

Social bots distort the 2016 U.S. Presidential election online discussion

TL;DR: The findings suggest that the presence of social media bots can indeed negatively affect democratic political discussion rather than improving it, which in turn can potentially alter public opinion and endanger the integrity of the Presidential election.
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