A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

作者：

Highlights：

• We present a basic taxonomy of the main research areas in Twitter.

• We present strategies, good practices and pitfalls for obtaining data from Twitter.

• We analyze the current bibliography regarding the main properties, metrics and models of the social graph.

• We survey the methods most commonly used to perform Sentiment Analysis on Twitter.

• We lay the groundwork of the most common threats in Twitter: Spam, Bots, Fakes News and Hate Speech.

摘要

•We present a basic taxonomy of the main research areas in Twitter.•We present strategies, good practices and pitfalls for obtaining data from Twitter.•We analyze the current bibliography regarding the main properties, metrics and models of the social graph.•We survey the methods most commonly used to perform Sentiment Analysis on Twitter.•We lay the groundwork of the most common threats in Twitter: Spam, Bots, Fakes News and Hate Speech.

论文关键词：Social networks,Twitter,Survey,Social graph,Sentiment analysis,Spam,Bots,Fake news,Hate speech

论文评审过程：Received 6 February 2020, Revised 9 July 2020, Accepted 11 September 2020, Available online 12 September 2020, Version of Record 15 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114006