Social Interaction in YouTube Text-Based Polylogues: A Study of Coherence

Bou‐Franch, Patricia; Lorenzo-Dus, Nuria; Blitvich, Pilar Garcés-Conejos

doi:10.1111/j.1083-6101.2012.01579.x

Cited by 113 publications

(32 citation statements)

References 35 publications

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“…Thus, complementary to the reception study, an investigation of this interactional space proves to be a promising, additional approach to elucidate effects and reactions to YouTube videos. The analysis of almost 2,000 user comments from the comment section of six of the examined YouTube videos shows that they are a coherent web of interactions that is composed of by mutual references such as explicit addressing, citations or thematic signals and sequence patterns like questionanswer or assertion-contradiction-proof of evidence (see also Bou-Franch et al, 2012).…”

Section: Dialogue Analysis: Mapping the Participatory Space Of Socialmentioning

confidence: 99%

Audiovisual Science Communication on TV and YouTube. How Recipients Understand and Evaluate Science Videos

2020

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With the emergence of the Internet, social media and video platforms are gaining considerable influence on the traditional media landscape in general and on science communication in particular. This has changed the role of science journalists as gatekeepers because many platforms are based on a participatory culture, in which passive consumers can become active participants. In addition to scientists, non-scientific actors also act as experts and participate in the communication process between science and the public. In contrast to the relevance of YouTube for science communication there is a lack of research focusing on the questions of how internet users receive YouTube videos to acquire information about science, how successful audiovisual media function in knowledge transfer, and what effects it has on the epistemic regime of a society. Therefore, this study combines a discourse analysis with the aim to create a typology of YouTube videos—the independent variables—and an audience study for investigating knowledge transfer—the dependent variables. In the first step, this article presents the results of a systematic analysis and categorization of 400 German science videos, from which four types of audiovisual science communication on YouTube were derived: presentation films, expert films, animation films, and narrative explanatory films. In order to clarify how powerful these new forms of science communication are in terms of knowledge transfer, attitudes, and trust toward the presentation of science, a discourse analysis of the videos is combined with a multi-level reception study and an online survey. The reception study included eye-tracking to investigate the allocation of attention and two different methods of knowledge tests (recognition and recall) of which the multiple-choice test was also applied in the online survey. The results show that the type of video has an important impact on knowledge transfer and para-social effects. One of the central results of the audience study is that the videos' gaze guidance, the recipients' allocation of attention, and the results of knowledge testing are closely intertwined. The correlation of data from eye-tracking and the two knowledge tests prove in principle that the more homogeneous the gaze patterns of the recipients are, the better they score in the multiple-choice test as well as in the concept mapping test.

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Section: Dialogue Analysis: Mapping the Participatory Space Of Socialmentioning

confidence: 99%

Audiovisual Science Communication on TV and YouTube. How Recipients Understand and Evaluate Science Videos

2020

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“…a participant's response may not appear just after the comment it targets) and agreeing with one person can imply disagreeing with another family member. For this reason, it was really important to pay attention to the content and addressivity to understand how messages were connected to each other (Bolander 2012, Bou-Franch, Lorenzo-Dus and Garcés-Conejos Blitvich 2012, Sifianou 2012.…”

Section: Analytical Frameworkmentioning

confidence: 99%

Disagreement and (im)politeness in a Spanish family members’ WhatsApp group

Amaya

Люсия

2019

Russian Journal of Linguistics

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The present paper explores disagreement and impoliteness in a WhatsApp interaction within a Spanish family that took place during the 2018 International Women’s Day. The conversation is linguistically examined using categories of disagreement strategies proposed by previous authors (Pomerantz 1984, Brown and Levinson 1987, Rees-Miller 2000, Locher 2004, Kreutel 2007, Malamed 2010, Shum and Lee 2013). Furthermore, multimodal analysis (Dresner and Herring 2010, 2013, Jewitt 2013, Bourlai and Herring 2014; Herring 2015) is used to consider not only participants’ linguistic strategies for expressing disagreement, but also the function of multimedia elements and emojis (Dresner and Herring 2010, 2013, Yus 2014, 2017, Sampietro 2016a, 2016b, Aull 2019). The analysis is followed by an interview to better understand the participants’ communicative intentions towards disagreements in relation to (im)politeness. A total of 427 instances of disagreement are identified, with the most common strategies being giving opposite opinions and emotional or personal reasons. This is to be expected since the group is divided from the very beginning into detractors and supporters of feminism, and they are also defending their opposite viewpoints by giving examples from their own life experience. Based on the participants’ opinions, the most significant result is the fact that, although disagreement may lead to face-threat, and thus impoliteness in other contexts (Langlotz and Locher 2012, Sifianou 2012, Shum and Lee 2013), in this WhatsApp interaction, the Spanish family members did not consider it to be impolite, and it is even evaluated in positive terms by some of the participants (Angouri and Locher 2012).

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“…In this vein, a small number of publications have investigated coherence in textual CMC in multimodal contexts. Zelenkauskaite and Herring (2008) contributed the first study to analyze interactional coherence in television-mediated text messaging (iTV SMS); Herring et al (2009) investigated coherence in text chat in the interface of a fast-paced multiplayer online game; Honeycutt and Herring (2009) looked into coherence of exchanges on Twitter; Bou-Franch et al (2012) provided a meticulous linguistic analysis on coherence in YouTube comments; and Ford et al (2017) analyzed ‘practices of coherence’ in massive chats on Twitch, a live-streaming platform dedicated to video games.…”

Section: Coherence In Multimodal Computer-mediated Communicationmentioning

confidence: 99%

Making sense ofdanmu: Coherence in massive anonymous chats on Bilibili.com

Zhang

Cassany

2020

Discourse Studies

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Although coherence has been widely studied in computer-mediated communication (CMC), insufficient attention has been paid to emergent multimodal forms. This study analyzes a popular commentary system on Chinese and Japanese video-sharing sites – known as danmu or danmaku – where anonymous comments are superimposed on and scroll across the video frame. Through content and multimodal discourse analysis, we unpack danmu-mediated communication analyzing the newest interface (on Bilibili.com), the comments, the interpersonal interactions and the unusual use of the second-person pronoun. Results show that despite the technological constraints (hidden authorship, unmarked sending date and lack of options to structure comments), users construct order in interactions through repetition, danmu-specific expressions and multimodal references, while using playful language to make fun. This study provides an up-to-date analysis on an increasingly popular CMC medium beyond well-studied social networking sites, and broadens the understanding of coherence in contemporary CMC.

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Social Interaction in YouTube Text-Based Polylogues: A Study of Coherence

Cited by 113 publications

References 35 publications

Audiovisual Science Communication on TV and YouTube. How Recipients Understand and Evaluate Science Videos

Audiovisual Science Communication on TV and YouTube. How Recipients Understand and Evaluate Science Videos

Disagreement and (im)politeness in a Spanish family members’ WhatsApp group

Making sense ofdanmu: Coherence in massive anonymous chats on Bilibili.com

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