2017DOAJ (DOAJ: Directory of Open Access Journals)Open access

Comment Counts or News Factors or Both? Influences on News Website Users’ News Selectioners’ News Selection

Ines Engelmann, Manuel Wendelin

Open full text 6 citations

Abstract

In this article, we investigate how news selection on news websites is influenced by popularity indicators and news factor intensities. For Internet users, popularity indicators such as comment counts, published in the context of news items, might complement journalistic relevance attribution. We therefore conducted an experiment (N = 320) in which we investigated the impact of comment counts and news factor intensities on news selection. We found that comment counts did not affect the selection of associated news items, whereas news factors affected news selection positively. The implications of these results are discussed.

About this research paper

What this paper is about

In this article, we investigate how news selection on news websites is influenced by popularity indicators and news factor intensities. For Internet users, popularity indicators such as comment counts, published in the context of news items, might complement journalistic relevance attribution. We therefore conducted an experiment (N = 320) in which we investigated the impact of comment counts and news factor intensities on news selection. We found that comment counts did not affect the selection of associated news items, whereas news factors affected news selection positively. The implications of these results are discussed.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this article, we investigate how news selection on news websites is influenced by popularity indicators and news factor intensities. For Internet users, popularity indicators such as comment counts, published in the context of news items, might complement journalistic relevance attribution. We therefore conducted an experiment (N = 320) in which we investigated the impact of comment counts and news factor intensities on news selection. We found that comment counts did not affect the selection of associated news items, whereas news factors affected news selection positively. The implications of these results are discussed.

Key concepts: Popularity, Selection (genetic algorithm), News media, Relevance (law), Context (archaeology), Attribution, Advertising, News values

Related papers

Back to paper searchBrowse research topicsOriginal source
Comment Counts or News Factors or Both? Influences on News Website Users’ News Selectioners’ News Selection — Research Paper | ScholarLens