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AUTHOR(S):

Ioannis Syllaidopoulos, Athanasios Skraparlis, Klimis Ntalianis

 

TITLE

Evaluating Corporate Online Reputation through Sentiment Analysis of News Articles: Threats, Maliciousness and Real Opinions

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ABSTRACT

This paper provides the academic, research, and business community with a concise but comprehensive overview of diverse, up-to-date, and valid research on the issue of effective online reputation management for organizations. To this end, reputation and its specificities are documented in the digital environment. Existing literature is analyzed and popular contemporary techniques used by organizations for optimal management of their online reputation are explored. Furthermore, a tool for measuring online reputation is developed, and the articles and news of 100 companies are analyzed. The main aim of this paper is to answer the question: “Can reputation be measured using similar tools that incorporate sentiment analysis algorithms”?. Finally, conclusions highlight the specifics of online reputation and provide recommendations to institutions and organizations.

KEYWORDS

Online reputation management, new media, social license, digital activism, algorithms, information overload, sentiment analysis, polarity, subjectivity, threats, malicious user

 

Cite this paper

Ioannis Syllaidopoulos, Athanasios Skraparlis, Klimis Ntalianis. (2022) Evaluating Corporate Online Reputation through Sentiment Analysis of News Articles: Threats, Maliciousness and Real Opinions. International Journal of Cultural Heritage, 7, 8-22

 

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