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Characterizing peer-judged answer quality on academic Q&A sites: A cross-disciplinary case study on ResearchGate

机译:在学术问答网站上描述同行评判的答案质量:ResearchGate的跨学科案例研究

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PurposenAcademic social (question and answer) Q&A sites are now utilised by millions of scholars and researchers for seeking and sharing discipline-specific information. However, little is known about the factors that can affect their votes on the quality of an answer, nor how the discipline might influence these factors. The paper aims to discuss this issue.nDesign/methodology/approachnUsing 1,021 answers collected over three disciplines (library and information services, history of art, and astrophysics) in ResearchGate, statistical analysis is performed to identify the characteristics of high-quality academic answers, and comparisons were made across the three disciplines. In particular, two major categories of characteristics of the answer provider and answer content were extracted and examined.nFindingsnThe results reveal that high-quality answers on academic social Q&A sites tend to possess two characteristics: first, they are provided by scholars with higher academic reputations (e.g. more followers, etc.); and second, they provide objective information (e.g. longer answer with fewer subjective opinions). However, the impact of these factors varies across disciplines, e.g., objectivity is more favourable in physics than in other disciplines.nOriginality/valuenThe study is envisioned to help academic Q&A sites to select and recommend high-quality answers across different disciplines, especially in a cold-start scenario where the answer has not received enough judgements from peers.
机译:目的n学术界(问答)问答网站现在已被数百万的学者和研究人员用来寻找和共享特定学科的信息。但是,对于影响他们对答案质量的投票的因素,以及学科如何影响这些因素,人们所知甚少。本文旨在讨论此问题。n设计/方法/方法在ResearchGate中使用三个学科(图书馆和信息服务,艺术史和天体物理学)收集的1,021个答案,进行统计分析以识别高质量学术答案的特征,并对这三个学科进行了比较。尤其是,提取并检查了答案提供者和答案内容的两大特征类别。n研究结果表明,学术社交问答站点上的高质量答案往往具有两个特征:首先,它们由具有较高学术声誉的学者提供(例如更多的追随者等);其次,它们提供客观的信息(例如,答案更长,主观意见更少)。但是,这些因素的影响因学科而异,例如,客观性在物理学中比在其他学科中更为有利。原始性/价值n这项研究旨在帮助学术问答网站选择和推荐跨学科的高质量答案,尤其是在学科领域。冷启动场景,答案未从同级收到足够的判断。

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