Elicitation of Requirements for an AI-Enhanced Comment Moderation Support System for Non-tech Media Companies

Autor:	Marco Niemann
Rok vydání:	2021
Předmět:	Decision support system business.industry Functional requirement Community management Business Public relations Moderation Transparency (behavior) Task (project management) Practice research Newspaper
Zdroj:	HCI International 2021-Posters ISBN: 9783030786342 HCI (37)
DOI:	10.1007/978-3-030-78635-9_73
Popis:	Traditional (news) media companies are increasingly facing rising participation in their discussion sections and a simultaneous surge of abusive contributions. Legally required to prevent the dissemination of hate and threats, manual moderation is an increasingly daunting task for journalists and part-time community managers. Consequently, many comment sections are closed for economic reasons world-wide. While there is ongoing academic and practice research on machine learning (ML) systems to detect abusiveness or hate, the focus typically remains on this limited technical task. Integrations into systems for practical community management are still rare. Based on eleven semi-structured interviews with experts of four German newspapers of varying size (incl. an observation of their working patterns), complemented by insights from workshops on community management, we could identify five major functional requirements for creating such integrated systems. This range goes from the need for increased transparency and controllability to better support for team-based community management. In this paper, we outline each requirement’s origin and implications for the development of integrated, artificial intelligence (AI)-enhanced comment moderation support system (CMSS).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9a5682b50186523ab4eee28c3e8a2afe https://doi.org/10.1007/978-3-030-78635-9_73 Zobrazit plný text záznamu