Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR 2020)

A Bibliometric Analysis of Communication Research on Artificial Intelligence and Big Data

Authors
Yujin Zhou, Han-Teng Liao
Corresponding Author
Han-Teng Liao
Available Online 1 May 2020.
DOI
https://doi.org/10.2991/assehr.k.200428.097How to use a DOI?
Keywords
big data, artificial intelligence, social media, machine learning, privacy, politics
Abstract

The development of artificial intelligence (AI), big data and other communication technologies have multiple implications for the consumption and production of media content. Communication researchers have recently discussed several methodological and thematic challenges, ranging from the ways in which they disrupt the news production and consumption, to the digital transformation of the media and content ecosystems. With the aim to provide a systematic overview of the latest development of communication research in relation to AI and Big Data, this paper has mapped out the main sources, disciplines, and keywords based on a bibliometric analysis of 685 articles collected from Web of Science database. The findings show that the main clusters are “Communication and Sociology”, “Journalism”, and “Information and Telecommunications”, with the cluster of “Communication and Political Science” being in-between them. Also, the visualization of the author keywords indicates the main “Communication and Sociology” cluster includes the main research topics such as surveillance, algorithms, datafication, privacy, ethics, etc., and the “Journalism” cluster includes computational journalism, data journalism, automated journalism. Although future work is needed to provide detailed synthesis, the paper nonetheless provides a succinct summary for communication researchers and professionals to have an overview of the latest discussions.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 May 2020
ISBN
978-94-6252-960-1
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.200428.097How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yujin Zhou
AU  - Han-Teng Liao
PY  - 2020
DA  - 2020/05/01
TI  - A Bibliometric Analysis of Communication Research on Artificial Intelligence and Big Data
BT  - Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR 2020)
PB  - Atlantis Press
SP  - 456
EP  - 459
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200428.097
DO  - https://doi.org/10.2991/assehr.k.200428.097
ID  - Zhou2020
ER  -