@inproceedings{c51aeba7914c450fb3a87b5bd737607e,
title = "Evaluating academic answer quality: A pilot study on ResearchGate Q&A",
abstract = "Evaluating the quality of academic content on social media is a critical research topic for the further development of scholarly collaboration on the social web. This pilot study used the question/answer pairs of Library and Information Science (LIS) domain on ResearchGate to examine how scholars assess the quality of academic answers on the social web. This study aims to: (1) examine the aspects used by scholars in assessing the academic answer quality and identify the objective and subjective aspects; (2) future verify the existing of subjective aspects when judging the academic answers{\textquoteright} quality by detecting the agreement of evaluation between different evaluators. Though concluding the evaluation criteria of the academic content quality from the related works, the authors identified nine aspects of the quality evaluation and mapped the participants{\textquoteright} responds of the reasons for the answer quality judgment to the identified quality judgment framework. We found that aspects that related to the content of academic text and the users{\textquoteright} beliefs and preferences are the two common used aspects to judge the academic answer quality, which indicated that not only the text itself, but also the evaluator{\textquoteright}s beliefs and preferences influence the quality judgment. Another finding is the agreement level between different evaluator{\textquoteright}s judgments is very low, compared with other non-academic text judgment agreement level.",
keywords = "Academic answer quality, Academic social Q&A, ResearchGate, Social media",
author = "Lei Li and Daqing He and Chengzhi Zhang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 3rd International Conference on HCI in Business, Government, and Organizations: eCommerce and Innovation, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",
year = "2016",
doi = "10.1007/978-3-319-39396-4_6",
language = "英语",
isbn = "9783319393957",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "61--71",
editor = "Nah, {Fiona Fui-Hoon} and Chuan-Hoo Tan",
booktitle = "HCI in Business, Government, and Organizations",
}