Our changing information ecosystem for science and why it matters for effective science communication.

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Title: Our changing information ecosystem for science and why it matters for effective science communication.
Authors: Krause, Nicole M.1 nicky.krause@gmail.com, Freiling, Isabelle2, Scheufele, Dietram A.3
Source: Proceedings of the National Academy of Sciences of the United States of America. 7/8/2025, Vol. 122 Issue 27, p1-10. 10p.
Subjects: Social media, Misinformation, Scientific communication, Communication ethics, Science associations
Abstract: Current information ecologies present unique opportunities to communicate science and engage diverse publics in science. Unfortunately, they also present unique challenges. Here, we outline how the public sphere for science is transforming as media evolve, and we connect these changes to the high-stakes issue context of COVID-19. We argue that scientific organizations' struggles to adapt to evolving media are linked, in part, to asymmetries in which social media platforms prevent researchers from producing reliable data that could inform institutional change and improve science communication. This has been apparent in studies of echo chambers and filter bubbles. Producing a more usable evidence base, we conclude, will require that scholars a) obtain access to proprietary data, b) reconceptualize information ecologies as social systems, c) avoid ceding core research tasks to platforms, d) address ethical issues, and e) grapple with the urgency of moving forward productively. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Our changing information ecosystem for science and why it matters for effective science communication.
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  Data: <searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Misinformation%22">Misinformation</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+communication%22">Scientific communication</searchLink><br /><searchLink fieldCode="DE" term="%22Communication+ethics%22">Communication ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Science+associations%22">Science associations</searchLink>
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  Data: Current information ecologies present unique opportunities to communicate science and engage diverse publics in science. Unfortunately, they also present unique challenges. Here, we outline how the public sphere for science is transforming as media evolve, and we connect these changes to the high-stakes issue context of COVID-19. We argue that scientific organizations' struggles to adapt to evolving media are linked, in part, to asymmetries in which social media platforms prevent researchers from producing reliable data that could inform institutional change and improve science communication. This has been apparent in studies of echo chambers and filter bubbles. Producing a more usable evidence base, we conclude, will require that scholars a) obtain access to proprietary data, b) reconceptualize information ecologies as social systems, c) avoid ceding core research tasks to platforms, d) address ethical issues, and e) grapple with the urgency of moving forward productively. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1073/pnas.2400928121
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      – SubjectFull: Social media
        Type: general
      – SubjectFull: Misinformation
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      – SubjectFull: Scientific communication
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      – SubjectFull: Communication ethics
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      – SubjectFull: Science associations
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              Text: 7/8/2025
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