4.7 Article

Developing a platform-specific framework for web credibility assessment: A case of social Q&A sites

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Information Systems

Assessing the credibility of COVID-19 vaccine mis/disinformation in online discussion

Reijo Savolainen

Summary: This study examines how the credibility of mis/disinformation content and the believability of the authors creating such information are assessed in online discussions. The findings highlight that reputation, expertise, and honesty in argumentation are important criteria in assessing the author's credibility, while objectivity of information and plausibility of arguments are crucial in evaluating the credibility of mis/disinformation content.

JOURNAL OF INFORMATION SCIENCE (2023)

Article Computer Science, Cybernetics

The role of usability, aesthetics, usefulness and primary task support in predicting the perceived credibility of academic social networking sites

Felix Nti Koranteng et al.

Summary: This research focuses on the design of Academic Social Networking Sites (ASNSs) and investigates the factors determining their Perceived Credibility, with Perceived Aesthetics, Perceived Usefulness, and Perceived Primary Task Support identified as relevant determinants. Results suggest that Perceived Primary Task Support is the most relevant determinant of Perceived Credibility.

BEHAVIOUR & INFORMATION TECHNOLOGY (2022)

Article Computer Science, Information Systems

Recognizing fake information through a developed feature scheme: A user study of health misinformation on social media in China

Yuelin Li et al.

Summary: This study aimed to help people recognize health misinformation on social media in China by identifying the features of such misinformation and testing a scheme to enhance users' capability in identifying it. The scheme proved to be effective in improving users' ability to recognize health misinformation, particularly in the context of the COVID-19 pandemic.

INFORMATION PROCESSING & MANAGEMENT (2022)

Article Psychology, Multidisciplinary

Diminishing returns of information quality: Untangling the determinants of best answer selection

Babajide Osatuyi et al.

Summary: Online question and answer platforms are ideal for knowledge sharing and exchange, with answer quality and contributor reputation being important determinants for best answer selection. The study developed a model to analyze these determinants and found a non-linear relationship between answer quality (measured by net vote score) and likelihood of being selected as the best answer. Additionally, reputation of seekers and contributors also influence how information quality affects best answer selection.

COMPUTERS IN HUMAN BEHAVIOR (2022)

Review Computer Science, Information Systems

Interventions to support consumer evaluation of online health information credibility: A scoping review

Shijie Song et al.

Summary: This review provides an overview of major intervention approaches for improving consumer ability to evaluate online health information (OHI) credibility, including educational programs, algorithms, and interactive interfaces. Most interventions lack theoretical guidance in their design, and very few studies systematically evaluate their effectiveness in real online search contexts.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2021)

Article Computer Science, Information Systems

Recency and quality-based ranking question in CQAs: A Stack Overflow case study

Leandro Amancio et al.

Summary: In Community-based Question Answering (CQA), the ranking of answers should take into account both recency and quality to ensure the most current and best answers are at the top. A proposed automatic approach combines textual and non-textual features to classify and sort answers based on quality and recency. Evaluations in Stack Overflow CQA show that Coordinate Ascent and LambdaMart are the most effective algorithms for this task, with features related to the age of the response contributing to improved ranking performance.

INFORMATION PROCESSING & MANAGEMENT (2021)

Article Computer Science, Information Systems

When classification accuracy is not enough: Explaining news credibility assessment

Piotr Przybyla et al.

Summary: The credibility of online news is a major concern that impacts readers and society negatively. By using two machine learning methods, researchers aim to improve credibility assessment explanations and enhance reader confidence. The adapted neural classifier outperformed the stylometric classifier, and users showed increased accuracy and confidence in their assessments after interacting with the tool.

INFORMATION PROCESSING & MANAGEMENT (2021)

Article Computer Science, Information Systems

User Adoption of Physician's Replies in an Online Health Community: An Empirical Study

Yanli Zhang et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2020)

Article Computer Science, Information Systems

Researchers' judgment criteria of high-quality answers on academic social Q&A platforms

Lei Li et al.

ONLINE INFORMATION REVIEW (2020)

Article Computer Science, Information Systems

Older adults' credibility assessment of online health information: An exploratory study using an extended typology of web credibility

Wonchan Choi

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2020)

Article Computer Science, Information Systems

Credibility assessment of good abandonment results in mobile search

Dan Wu et al.

INFORMATION PROCESSING & MANAGEMENT (2020)

Article Computer Science, Information Systems

Incorporating message format into user evaluation of microblog information credibility: A nonlinear perspective

Chunxiao Yin et al.

INFORMATION PROCESSING & MANAGEMENT (2020)

Article Information Science & Library Science

Credibility evaluation of scientific information on websites: Designing and evaluating an exploratory model

Hamid Keshavarz et al.

JOURNAL OF LIBRARIANSHIP AND INFORMATION SCIENCE (2020)

Article Computer Science, Information Systems

Quality assessment of answers with user-identified criteria and data-driven features in social Q&A

Hengyi Fu et al.

INFORMATION PROCESSING & MANAGEMENT (2019)

Article Computer Science, Information Systems

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

Lei Li et al.

ASLIB JOURNAL OF INFORMATION MANAGEMENT (2018)

Article Computer Science, Information Systems

Web credibility assessment: Conceptualization, operationalization, variability, and models

Wonchan Choi et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2015)

Article Computer Science, Information Systems

A comparative assessment of answer quality on four question answering sites

Pnina Fichman

JOURNAL OF INFORMATION SCIENCE (2011)

Article Computer Science, Information Systems

Social Q&A

Rich Gazan

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2011)

Article Computer Science, Information Systems

Judging the Quality and Credibility of Information in Internet Discussion Forums

Reijo Savolainen

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2011)

Article Business

Users of the world, unite! The challenges and opportunities of Social Media

Andreas M. Kaplan et al.

BUSINESS HORIZONS (2010)

Article Computer Science, Information Systems

Users' Relevance Criteria for Evaluating Answers in a Social Q&A Site

Soojung Kim et al.

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2009)

Article Information Science & Library Science

Research agenda for social Q&A

Chirag Shah et al.

LIBRARY & INFORMATION SCIENCE RESEARCH (2009)

Article Computer Science, Information Systems

A framework for information quality assessment

Besiki Stvilia et al.

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2007)