#MissingData: A methodological inquiry of the hashtag to collect data from Twitter

Authors

  • Evelien D'heer iMinds - MICT - Ghent University
  • Pieter Verdergem iMinds - MICT - Ghent University
  • Frederik De Grove iMinds - MICT - Ghent University

Keywords:

Twitter, hashtags, methodology

Abstract

In this paper, we assess the Twitter hashtag from a methodological perspective. Compared to conventional methods in social science research (such as surveys and in-depth interviews), social media as a method is far from being fully understood. We evaluate a popular sampling procedure for Twitter studies, i.e. the hashtag approach. Hashtags are valuable to study the emergence and evolution of Twitter debates around particular topics. However, not all relevant tweets are captured. In particular, we refer to the exclusion of @replies prompted by hashtagged tweets.This paper empirically examines the impact of hashtag sampling on conversation networks.

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Published

2016-10-31

How to Cite

D’heer, E., Verdergem, P., & De Grove, F. (2016). #MissingData: A methodological inquiry of the hashtag to collect data from Twitter. AoIR Selected Papers of Internet Research, 6. Retrieved from https://spir.aoir.org/ojs/index.php/spir/article/view/8381

Issue

Section

Papers D