Modelling Experts Behaviour in Q&amp;A Communities to Predict Worthy Discussions

Procaci, Thiago Baesso; Siqueira, Sean W. M.; Nunes, Bernardo Pereira; Nurmikko-Fuller, Terhi

doi:10.1109/icalt.2017.56

“…Isto porque os alunos usaram as trilhas de CQA para obter mais conhecimento. Por isso, na área de informática na educac ¸ão, alguns estudos tentaram identificar quais discussões [Procaci et al 2019] tem uma profundidade de acordo com um limite mínimo [Procaci et al 2017], o assunto associado e as conexões com outros assuntos para uma pré-classificac ¸ão em categorias [Procaci et al 2016],…”

Section: Trabalhos Relacionadosunclassified

Uso de Comunidades de Perguntas e Respostas para Explorar Conceitos na Aprendizagem de Computação

Gimenez

¹

,

Siqueira

²

2022

Anais Do XXXIII Simpósio Brasileiro De Informática Na Educação (SBIE 2022)

0

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Comunidades de perguntas e respostas (CQA) online cumprem um papel de fonte de conhecimentos e provimento de informações confiáveis, devido à natureza crowdsourced e de trilhas de informação em formato de pergunta. Nesse trabalho, investigamos o uso da CQA Stack Overflow sobre a linguagem C na aprendizagem informal de conceitos em Computação. Empregamos a abordagem de pesquisa qualitativa com uso da Teoria Fundamentada em Dados Construtivista. Realizamos sessões observacionais com apoio do método Think Aloud Protocol e entrevistas com a técnica Intensive Interviewing. Codificamos os dados coletados com o método de comparação constante. O grupo de participantes voluntários foram estudantes de pós-graduação de Computação, com experiência prática de desenvolvimento de sistemas. Como achados deste estudo, as perguntas detalhadas e respostas bem elaboradas contribuem para a aprendizagem de conceitos de Computação. Entretanto, há uma percepção majoritária de inadequação das trilhas em CQA para aprendizagem de indivíduos iniciantes no assunto, apesar de servirem como material técnico complementar.

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“…Fewer studies have analyzed expert interactions in online forums. A study in a large Q&A community found that experts are more likely to provide help than peers and that their participation in discussions resulted in increased length and substance of discussions (Procaci et al, 2017). Recent studies have compared interactions with experts to interactions with peers in broader scientific communities (Park et al, 2020) and r/AskDocs on Reddit (Nobles et al, 2020).…”

Section: Related Workmentioning

confidence: 99%

Exploring Self-Identified Counseling Expertise in Online Support Forums

Lahnala¹,

Zhao²,

Welch³

et al. 2021

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

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A growing number of people engage in online health forums, making it important to understand the quality of the advice they receive. In this paper, we explore the role of expertise in responses provided to help-seeking posts regarding mental health. We study the differences between (1) interactions with peers; and (2) interactions with self-identified mental health professionals. First, we show that a classifier can distinguish between these two groups, indicating that their language use does in fact differ. To understand this difference, we perform several analyses addressing engagement aspects, including whether their comments engage the support-seeker further as well as linguistic aspects, such as dominant language and linguistic style matching. Our work contributes toward the developing efforts of understanding how health experts engage with health information-and support-seekers in social networks. More broadly, it is a step toward a deeper understanding of the styles of interactions that cultivate supportive engagement in online communities.

show abstract

“…Fewer studies have analyzed expert interactions in online forums. A study in a large Q&A community found that experts are more likely to provide help than peers and that their participation in discussions resulted in increased length and substance of discussions (Procaci et al, 2017). Recent studies have compared interactions with experts to interactions with peers in broader scientific communities (Park et al, 2020) and r/AskDocs on Reddit (Nobles et al, 2020) users of varying demographics.…”

Section: Related Workmentioning

confidence: 99%

Exploring Self-Identified Counseling Expertise in Online Support Forums

Lahnala¹,

Zhao²,

Welch³

et al. 2021

Preprint

0

View full text Add to dashboard Cite

A growing number of people engage in online health forums, making it important to understand the quality of the advice they receive. In this paper, we explore the role of expertise in responses provided to help-seeking posts regarding mental health. We study the differences between (1) interactions with peers; and (2) interactions with self-identified mental health professionals. First, we show that a classifier can distinguish between these two groups, indicating that their language use does in fact differ. To understand this difference, we perform several analyses addressing engagement aspects, including whether their comments engage the support-seeker further as well as linguistic aspects, such as dominant language and linguistic style matching. Our work contributes toward the developing efforts of understanding how health experts engage with health information-and support-seekers in social networks. More broadly, it is a step toward a deeper understanding of the styles of interactions that cultivate supportive engagement in online communities.

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Modelling Experts Behaviour in Q&A Communities to Predict Worthy Discussions

Cited by 10 publications

References 11 publications

Uso de Comunidades de Perguntas e Respostas para Explorar Conceitos na Aprendizagem de Computação

Uso de Comunidades de Perguntas e Respostas para Explorar Conceitos na Aprendizagem de Computação

Exploring Self-Identified Counseling Expertise in Online Support Forums

Exploring Self-Identified Counseling Expertise in Online Support Forums

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