Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

5-2019

Abstract

The process of content creation for distribution via social media platforms is not a trivial one for social media editors as the goal of creating both serious and engaging content is challenging, with no clear or differing guidelines or rules across and between platforms. For creators of serious content, such as news organizations, advertisers, or educational institutions, engagement has a deeper meaning beyond likes, shares, etc. that is aimed at the audience actually processing the underlying content associated with a social media post. In this research, we report findings from a group study that aimed to understand the process and challenges of creating engaging content across three social media platforms in a major news organization. The findings from the study indicate that creating engaging content is effort- and time-consuming, and they highlight the need to support the process of creating engaging content across multiple social media platforms. Our longer-term goal is to develop a system design to support social media editors' creation of engaging content with which they can select engaging passages from news articles and select platforms on which to publish the content.

Keywords

news media, recommendation system, social media, user engagement

Discipline

Artificial Intelligence and Robotics | Theory and Algorithms

Research Areas

Data Science and Engineering; Intelligent Systems and Optimization

Publication

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow Scotland, May 4-9

ISBN

9781450359719

Identifier

10.1145/3290607.3312810

Publisher

Association for Computing Machinery

City or Country

Glasgow, Scotland Uk

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