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IM
Peer reviewed only Open Access

Information Matters (IM)

Publisher : Association for Information Science & Technology (ASIS&T)
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e-ISSN awaited22336
Issue Frequency Monthly
Est. Year 2024
Language English
APC YES

Journal Descriptions

Information Matters (IM) is a digital-only communication translational forum for information science, bringing relevant and current research evidence and industry developments, news, and opinion to a global public audience free of charge. The platform is sponsored by the Association for Information Science & Technology (ASIS&T). IM is committed to producing translational reports, news, reviews, columns, and features of the highest standards. Our publication serves to inform the public, industry professionals, educational practitioners, and policymakers on information science issues of critical importance to society and civil life. Our readers rely on our content, to be informed and aware, and also to support decision-making. It is therefore essential that every published piece meets our commitment to quality, accuracy, and integrity. Interested in reaching a wider Information Science audience? Advertising on IM exposes your institute to many prominent scholars, practitioners, and organizations in the space of information science around the world. Learn more here.

Information Matters (IM) is :-

  • International, Peer-Reviewed, Open Access, Refereed, , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: awaited22336, Established: 2024,
  • Does Not Provide Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Publications of IM

Impact of Information and Communication Technology on Students' Academic Performance
Najeem Olawale ADELAKUN March, 2023
Presently, Information and Communication Technology is one of the foremost technologies among the emerging technologies that play an important role in every sphere of human endeavour. It has...
Navigating Challenges and Future Trends in Sentiment Analysis for Investment Decision Making
Najeem Olawale ADELAKUN July, 2023
Sentiment analysis is a computerised approach for evaluating and interpreting the emotions, attitudes, and views represented in text. It is a robust natural language processing approach tha...