Social media analytics - Challenges in topic discovery, data collection, and data preparation

By Stefan Stieglitz, Milad Mirbabaie, Björn Ross, Christoph Neuberger. International Journal of Information Management, 2018

736 citations recorded by the source corpus.

Abstract Since an ever-increasing part of the population makes use of social media in their day-to-day lives, social media data is being analysed in many different disciplines. The social media analytics process involves four distinct steps, data discovery, collection, preparation, and analysis. While there is a great deal of literature on the challenges and difficulties involving specific data analysis methods, there hardly exists research on the stages of data discovery, collection, and preparation. To address this gap, we conducted an extended and structured literature analysis through which we identified challenges addressed and solutions proposed. The literature search revealed that the volume of data was most often cited as a challenge by researchers. In contrast, other categories have received less attention. Based on the results of the literature search, we discuss the most important challenges for researchers and present potential solutions. The findings are used to extend an existing framework on social media analytics. The article provides benefits for researchers and practitioners who wish to collect and analyse social media data.

Subfields: Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/4754227c71d7c3bc42d7ad4940e5d29f43e6d80b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Arpan Kumar Kar
  2. Sheshadri Chatterjee
  3. José Ramón Saura
  4. Yogesh Kumar Dwivedi

In Sociology and Political Science

  1. Arpan Kumar Kar
  2. Sheshadri Chatterjee
  3. José Ramón Saura
  4. Chao-Hsing Lee
  5. Chien-Wen David Chen

In Statistical and Nonlinear Physics

  1. Arpan Kumar Kar
  2. José Ramón Saura

Citations in the corpus