Journalism and Big Data in Scopus: A Systematic Review

Gerardo Gonzales-Mamani, Adriana Margarita Turriate-Guzman, Luis Ronaldo Alarcón-Llontop, Dalia Rosa Bravo-Guevara, Yaritza Zarait Fernandez-Saucedo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Big data is a massive dataset, through which statistics, behavioral studies and trends are generated. In the journalistic field, it has been fundamental for the automation of texts, creation of new computer content and new technological tools. In order to document the available material on big data in the field of journalism, a systematic literature review was conducted in the Scopus database. We applied filters to narrow down the findings. From a preliminary result of 47 publications, 11 were chosen that met the purposes of the research. It is specified that most of the selected texts use qualitative methodology to document the experiences of using big data and artificial intelligence. According to the studies analyzed, it was found that artificial intelligence (AI) and the application of big data in journalism enable the creation of content, the implementation of platforms and fact-checking. It is concluded that big data and AI are increasingly used in journalistic work, so it is important to use them with a critical and ethical approach.

Original languageEnglish
Title of host publicationIntelligent Strategies for ICT - Proceedings of ICTCS 2023
EditorsM. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore
Pages21-29
Number of pages9
DOIs
StatePublished - 2024
Event8th International Conference on Information and Communication Technology for Competitive Strategies, ICTCS 2023 - Jaipur, India
Duration: 8 Dec 20239 Dec 2023

Publication series

NameLecture Notes in Networks and Systems
Volume941 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference8th International Conference on Information and Communication Technology for Competitive Strategies, ICTCS 2023
Country/TerritoryIndia
CityJaipur
Period8/12/239/12/23

Keywords

  • Artificial intelligence
  • Big data
  • Data journalism
  • Journalism

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