{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:28:32Z","timestamp":1760146112204,"version":"build-2065373602"},"reference-count":5,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T00:00:00Z","timestamp":1728604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Leibniz-Institut f\u00fcr Wissensmedien"},{"name":"STB Data Science"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>With the release of ChatGPT, text-generating AI became accessible to the general public virtually overnight, and automated text generation (ATG) became the focus of public debate. Previously, however, little attention had been paid to this area of AI, resulting in a gap in the research on people\u2019s attitudes and perceptions of this technology. Therefore, two representative surveys among the German population were conducted before (March 2022) and after (July 2023) the release of ChatGPT to investigate people\u2019s attitudes, concepts, and knowledge on ATG in detail. This data descriptor depicts the structure of the two datasets, the measures collected, and potential analysis approaches beyond the existing research paper. Other researchers are encouraged to take up these data sets and explore them further as suggested or as they deem appropriate.<\/jats:p>","DOI":"10.3390\/data9100116","type":"journal-article","created":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T03:53:47Z","timestamp":1728618827000},"page":"116","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data Descriptor for \u201cUnderstanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany\u201d"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0733-9045","authenticated-orcid":false,"given":"Angelica","family":"Lermann Henestrosa","sequence":"first","affiliation":[{"name":"Knowledge Construction Lab, Leibniz-Institut f\u00fcr Wissensmedien, 72076 T\u00fcbingen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6345-9498","authenticated-orcid":false,"given":"Joachim","family":"Kimmerle","sequence":"additional","affiliation":[{"name":"Knowledge Construction Lab, Leibniz-Institut f\u00fcr Wissensmedien, 72076 T\u00fcbingen, Germany"},{"name":"Department of Psychology, Eberhard Karls University, 72076 T\u00fcbingen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Lermann Henestrosa, A., and Kimmerle, J. (2024). Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany. Behav. Sci., 14.","DOI":"10.3390\/bs14050353"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"100014","DOI":"10.1016\/j.chbr.2020.100014","article-title":"Initial Validation of the General Attitudes towards Artificial Intelligence Scale","volume":"1","author":"Schepman","year":"2020","journal-title":"Comput. Hum. Behav. Rep."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Sundar, S.S., and Kim, J. (2019, January 4\u20139). Machine Heuristic: When We Trust Computers More than Humans with Our Personal Information. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland.","DOI":"10.1145\/3290605.3300768"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"107855","DOI":"10.1016\/j.chb.2023.107855","article-title":"An Artificial Intelligence Perspective: How Knowledge and Confidence Shape Risk and Opportunity Perception","volume":"149","author":"Said","year":"2022","journal-title":"Comput. Hum Behav."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"425","DOI":"10.2307\/30036540","article-title":"User Acceptance of Information Technology: Toward a Unified View","volume":"27","author":"Venkatesh","year":"2003","journal-title":"MIS Q."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/9\/10\/116\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:11:03Z","timestamp":1760112663000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/9\/10\/116"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,11]]},"references-count":5,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["data9100116"],"URL":"https:\/\/doi.org\/10.3390\/data9100116","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2024,10,11]]}}}