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Challenging social media analytics: web science perspectives

Published: 23 June 2014 Publication History

Abstract

In this paper we outline some of the challenges for social media analytics and -- at the same time - challenge existing approaches to social media analysis. Specifically, we suggest that there is an unhelpful gulf between social scientific approaches, which offer rich theoretical and methodological understandings of the social; and computational approaches which offer sophisticated methods for data harvesting, interrogation and modelling. Brought together these approaches might meet the challenges facing social media analytics and produce a different order of understanding. We offer two preliminary examples of this synthesis in practice: first, we show how established computational tools might be harnessed to address theoretically grounded empirical questions about the social; and second we consider social theories might inspire the development of new methodological tools for social media analytics. In doing so, we aim to contribute to the development of interdisciplinary social media analytics with in a broader framework of Web Science.

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cover image ACM Conferences
WebSci '14: Proceedings of the 2014 ACM conference on Web science
June 2014
318 pages
ISBN:9781450326223
DOI:10.1145/2615569
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 June 2014

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Author Tags

  1. interdisciplinarity
  2. methodology
  3. social media
  4. social theory
  5. twitter

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WebSci '14
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WebSci '14: ACM Web Science Conference
June 23 - 26, 2014
Indiana, Bloomington, USA

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WebSci '14 Paper Acceptance Rate 29 of 144 submissions, 20%;
Overall Acceptance Rate 245 of 933 submissions, 26%

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  • (2018)Social media analytics – Challenges in topic discovery, data collection, and data preparationInternational Journal of Information Management10.1016/j.ijinfomgt.2017.12.00239(156-168)Online publication date: Apr-2018

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