Automated dialog analysis to predict blogger community response to newcomer inquiries

Nistor, Nicolae ; Dascălu, Mihai; Serafin, Yvonne und Trăușan-Matu, Ștefan (Dezember 2018): Automated dialog analysis to predict blogger community response to newcomer inquiries. In: Computers in Human Behavior, Bd. 89: S. 349-354

Abstract

Informal learning in online knowledge building communities (OKBCs) often starts with online academic help seeking, and with visitor inquiries on specific topics. In such a context, learning presupposes adequate OKBC response. Employing a social learning analytics approach based on natural language processing and Bakhtin's theory of dialogism, this study aims to predict blogger OKBC response. Manipulating the blog topic (well-defined vs. ill-defined) and the visitor inquiry format (off-topic vs. on-topic), a field experiment with a 2 x 2 factorial design was conducted on a sample of N = 68 blogger communities with a total of 25,303 members. For the entire sample, the community response was influenced only by the inquiry format. In a separate examination of the experimental groups, however, this remained true only for the well-defined topic, whereas for the ill-defined topic the community response only depended on the previously established dialog quality. The findings suggest identification criteria for responsive communities, which can support newcomer integration in OKBCs and, from a larger perspective, the use of OKBCs as components of formal learning environments.

• Dokumententyp: Zeitschriftenartikel
• Publikationsform: Publisher's Version
• Keywords: Online knowledge building communities; Newcomer integration; Social learning analytics; Dialog analysis; Academic help seeking
• Fakultät: Psychologie und Pädagogik > Department Psychologie
• Themengebiete: 100 Philosophie und Psychologie > 150 Psychologie
• ISSN: 0747-5632
• Sprache: Englisch