Investigating Factors for Assessing the Quality of Academic User-Generated Content on Social Media
Lei Li, Zhang Li, Ao Wang, Kun Huang · 2020
As scholars increasingly use academic user-generated content from various social media to support their research, evaluating the quality of this content becomes challenging. This study recruited researchers to conduct retrieval experiments and participate in post-experiment interviews, aiming to identify the factors that affect their evaluation of various types of academic user-generated content. By analyzing the interview data, 23 factors affecting the evaluation were obtained. This pilot study provides foundations for building a quality evaluation model for academic user-generated content.