{"id":2685,"date":"2024-07-03T13:49:42","date_gmt":"2024-07-03T11:49:42","guid":{"rendered":"https:\/\/newws.leibniz-hbi.de\/?post_type=hbi-employee&#038;p=2685"},"modified":"2026-01-28T16:59:07","modified_gmt":"2026-01-28T15:59:07","slug":"michael-reiss","status":"publish","type":"hbi-employee","link":"https:\/\/leibniz-hbi.de\/en\/employee\/michael-reiss\/","title":{"rendered":"Michael Reiss"},"content":{"rendered":"<p>Michael Reiss has been a postdoc researcher at the Leibniz Institute for Media Research | <span lang=\"de\">Hans-Bredow-Institut<\/span> (HBI) since November 2023. His research interests include political communication, especially news consumption <span data-teams=\"true\">and opinion formation in the context of emerging media such as generative AI <\/span>as well as methods of computational social science. For the latter, he is in particular interested in the potential use and role of large language models as a research tool.<\/p>\n<p>He is part of Research Program 1 &#8220;Transformation of Public Communication \u2013 Journalistic and Intermediary Functions in the Process of Opinion Formation\u201d and is<span data-teams=\"true\">\u00a0leading the research project \u201c<a id=\"menurto\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/leibniz-hbi.de\/en\/hbi-projects\/generative-ai-for-information-navigation\/\" href=\"https:\/\/leibniz-hbi.de\/en\/hbi-projects\/generative-ai-for-information-navigation\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link Generative Artificial Intelligence for Information Navigation\">Generative Artificial Intelligence for Information Navigation<\/a>\u201c, examining the extent and purposes of generative AI use in the context of political information, including its associated societal opportunities and risks. Results can be found <a href=\"https:\/\/leibniz-hbi.de\/en\/hbi-publications\/use-and-perception-of-generative-ai-for-information-search-in-germany\/\">here<\/a>.<\/span><\/p>\n<p>In the winter semester of 2025\/26, Michael Reiss will be working as a postdoctoral research fellow at the Institute for Communication Science and Media Research (IfKW) at Ludwig Maximilian University of Munich.<\/p>\n<p>His cumulative dissertation project at the Department of Communication and Media Research at the University of Zurich focused on patterns of news use and news non-use. His dissertation relied on computational methods, such as the use of online tracking data and data donations (Reiss, Michael (2023). News Must Die for News to Live \u2013 Empirical, Methodological, Conceptual, and Theoretical Perspectives on Contemporary News consumption and a Proposal for a Normative Turn. University of Zurich, Philosophische Fakult\u00e4t, <a href=\"https:\/\/doi.org\/10.5167\/uzh-238678\">https:\/\/doi.org\/10.5167\/uzh-238678<\/a>).<\/p>\n<p>Michael Reiss studied Sociology as well as Economics in the Bachelor&#8217;s program at Heidelberg University. In the Master&#8217;s program he studied both Socio-Ecological Economics and Policy at the Vienna University of Economics and Social Research Methods at the London School of Economics and Political Science.<\/p>\n","protected":false},"author":15,"featured_media":1236,"template":"","categories":[],"tags":[],"class_list":["post-2685","hbi-employee","type-hbi-employee","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Michael Reiss - Leibniz Institut f\u00fcr Medienforschung | Leibniz Institute for Media Research<\/title>\n<meta name=\"description\" content=\"Michael Reiss is a postdoc at the HBI, researching political communication and news consumption and its effects.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/leibniz-hbi.de\/en\/employee\/michael-reiss\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Michael Reiss\" \/>\n<meta property=\"og:description\" content=\"Michael Reiss is a postdoc at the HBI, researching political communication and news consumption and its effects.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/leibniz-hbi.de\/en\/employee\/michael-reiss\/\" \/>\n<meta property=\"og:site_name\" content=\"Leibniz Institut f\u00fcr Medienforschung | Leibniz Institute for Media Research\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-28T15:59:07+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/leibniz-hbi.de\/wp-content\/uploads\/2024\/04\/Michael-Reiss-Header.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1380\" \/>\n\t<meta property=\"og:image:height\" content=\"400\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/leibniz-hbi.de\\\/en\\\/employee\\\/michael-reiss\\\/\",\"url\":\"https:\\\/\\\/leibniz-hbi.de\\\/en\\\/employee\\\/michael-reiss\\\/\",\"name\":\"Michael Reiss - 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