{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T21:40:05Z","timestamp":1748641205236,"version":"3.41.0"},"reference-count":22,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p xml:lang=\"en\">With great power comes great responsibility. As Artificial Intelligence in general and Natural Language Processing, in particular, continue to shape the world we live in, there is an increased need for Computer Scientists in academia and industry to acknowledge the pivotal role our discipline plays in shaping the future of our society. Accepting this role should come with the responsibility to make positive contributions, whether through research, teaching, application, or by contributing to the public discourse surrounding AI technology and its regulation. This text outlines how Natural Language Processing can contribute to shaping a better future in which society at large can benefit from technological advances.<\/jats:p>","DOI":"10.1515\/itit-2024-0095","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T09:56:49Z","timestamp":1745575009000},"page":"3-7","source":"Crossref","is-referenced-by-count":0,"title":["Natural Language Processing for Social Good: contributing to research and society"],"prefix":"10.1515","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8120-3368","authenticated-orcid":false,"given":"Daniel","family":"Braun","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science , University of Marburg , Marburg , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2025,4,24]]},"reference":[{"key":"2025053021205066809_j_itit-2024-0095_ref_001","doi-asserted-by":"crossref","unstructured":"D. Braun, \u201cWhy \u201cartificial intelligence\u201d should not be regulated,\u201d Digital Gov. Res. Pract., 2024.","DOI":"10.1145\/3696010"},{"key":"2025053021205066809_j_itit-2024-0095_ref_002","doi-asserted-by":"crossref","unstructured":"B. Berendt, \u201cAi for the common good?! pitfalls, challenges, and ethics pen-testing,\u201d Paladyn, Journal of Behavioral Robotics, vol.\u00a010, no.\u00a01, pp.\u00a044\u201365, 2019. https:\/\/doi.org\/10.1515\/pjbr-2019-0004.","DOI":"10.1515\/pjbr-2019-0004"},{"key":"2025053021205066809_j_itit-2024-0095_ref_003","doi-asserted-by":"crossref","unstructured":"L. Floridi, et al.., \u201cAi4people\u2014an ethical framework for a good ai society: opportunities, risks, principles, and recommendations,\u201d Minds Mach., vol. 28, no. 4, pp. 689\u2013707, 2018. https:\/\/doi.org\/10.1007\/s11023-018-9482-5.","DOI":"10.1007\/s11023-018-9482-5"},{"key":"2025053021205066809_j_itit-2024-0095_ref_004","doi-asserted-by":"crossref","unstructured":"D. Hovy and S. L. Spruit, \u201cThe social impact of natural language processing,\u201d in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), K. Erk, and N. A. Smith, Eds., Berlin, Germany, Association for Computational Linguistics, 2016, pp.\u00a0591\u2013598.","DOI":"10.18653\/v1\/P16-2096"},{"key":"2025053021205066809_j_itit-2024-0095_ref_005","doi-asserted-by":"crossref","unstructured":"Z. Jin, G. Chauhan, B. Tse, M. Sachan, and R. Mihalcea, \u201cHow good is NLP? a sober look at NLP tasks through the lens of social impact,\u201d in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. [Online], C. Zong, F. Xia, W. Li, and R. Navigli, Eds., Association for Computational Linguistics, 2021, pp.\u00a03099\u20133113.","DOI":"10.18653\/v1\/2021.findings-acl.273"},{"key":"2025053021205066809_j_itit-2024-0095_ref_006","doi-asserted-by":"crossref","unstructured":"N. Toma\u0161ev, et al.., \u201cAi for social good: unlocking the opportunity for positive impact,\u201d Nat. Commun., vol.\u00a011, no.\u00a01, p.\u00a02468, 2020. https:\/\/doi.org\/10.1038\/s41467-020-15871-z.","DOI":"10.1038\/s41467-020-15871-z"},{"key":"2025053021205066809_j_itit-2024-0095_ref_007","doi-asserted-by":"crossref","unstructured":"K. van Deemter, \u201cThe pitfalls of defining hallucination,\u201d Comput. Linguist., vol.\u00a050, no.\u00a02, pp.\u00a0807\u2013816, 2024. https:\/\/doi.org\/10.1162\/coli_a_00509.","DOI":"10.1162\/coli_a_00509"},{"key":"2025053021205066809_j_itit-2024-0095_ref_008","doi-asserted-by":"crossref","unstructured":"D. Braun, P. Rogetzer, E. Stoica, and H. Kurzhals, \u201cStudents\u2019 perspective on ai-supported assessment of open-ended questions in higher education,\u201d in 15th International Conference on Computer Supported Education, CSEDU 2023, 2023, pp.\u00a073\u201379.","DOI":"10.5220\/0011648900003470"},{"key":"2025053021205066809_j_itit-2024-0095_ref_009","doi-asserted-by":"crossref","unstructured":"D. Braun, \u201cI beg to differ: how disagreement is handled in the annotation of legal machine learning data sets,\u201d Artif. Intell. Law, vol. 32, no. 3, pp. 839\u2013862, 2023. https:\/\/doi.org\/10.1007\/s10506-023-09369-4.","DOI":"10.1007\/s10506-023-09369-4"},{"key":"2025053021205066809_j_itit-2024-0095_ref_010","doi-asserted-by":"crossref","unstructured":"F. Cabitza, A. Campagner, and V. Basile, \u201cToward a perspectivist turn in ground truthing for predictive computing,\u201d Proc. AAAI Conf. Artif. Intell., vol. 37, no. 6, pp. 6860\u20136868, 2023. https:\/\/doi.org\/10.1609\/aaai.v37i6.25840.","DOI":"10.1609\/aaai.v37i6.25840"},{"key":"2025053021205066809_j_itit-2024-0095_ref_011","doi-asserted-by":"crossref","unstructured":"B. Plank, \u201cThe \u201cproblem\u201d of human label variation: on ground truth in data, modeling and evaluation,\u201d in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Y. Goldberg, Z. Kozareva, and Y. Zhang, Eds., Abu Dhabi, United Arab Emirates, Association for Computational Linguistics, 2022, pp.\u00a010671\u201310682.","DOI":"10.18653\/v1\/2022.emnlp-main.731"},{"key":"2025053021205066809_j_itit-2024-0095_ref_012","doi-asserted-by":"crossref","unstructured":"A. N. Uma, T. Fornaciari, D. Hovy, S. Paun, B. Plank, and M. Poesio, \u201cLearning from disagreement: a survey,\u201d J. Artif. Intell. 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Skitalinskaya, Eds., Bangkok, Thailand, Association for Computational Linguistics, 2024, pp.\u00a0164\u2013168.","DOI":"10.18653\/v1\/2024.argmining-1.17"},{"key":"2025053021205066809_j_itit-2024-0095_ref_015","doi-asserted-by":"crossref","unstructured":"C. van der Lee, A. Gatt, E. van Miltenburg, and E. Krahmer, \u201cHuman evaluation of automatically generated text: current trends and best practice guidelines,\u201d Comput. Speech Lang., vol.\u00a067, 2021, Art. no. 101151. https:\/\/doi.org\/10.1016\/j.csl.2020.101151.","DOI":"10.1016\/j.csl.2020.101151"},{"key":"2025053021205066809_j_itit-2024-0095_ref_016","doi-asserted-by":"crossref","unstructured":"E. Reiter, \u201cA structured review of the validity of BLEU,\u201d Comput. Linguist., vol.\u00a044, no.\u00a03, pp.\u00a0393\u2013401, 2018. https:\/\/doi.org\/10.1162\/coli_a_00322.","DOI":"10.1162\/coli_a_00322"},{"key":"2025053021205066809_j_itit-2024-0095_ref_017","unstructured":"S. Balloccu, P. Schmidtov\u00e1, M. Lango, and O. Dusek, \u201cLeak, cheat, repeat: data contamination and evaluation malpractices in closed-source LLMs,\u201d in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), Y. Graham, and M. Purver, Eds., St. Julian\u2019s, Malta, Association for Computational Linguistics, 2024, pp.\u00a067\u201393."},{"key":"2025053021205066809_j_itit-2024-0095_ref_018","doi-asserted-by":"crossref","unstructured":"D. Braun, E. Reiter, and A. Siddharthan, \u201cSaferdrive: an nlg-based behaviour change support system for drivers,\u201d Nat. Lang. Eng., vol.\u00a024, no.\u00a04, pp.\u00a0551\u2013588, 2018. https:\/\/doi.org\/10.1017\/s1351324918000050.","DOI":"10.1017\/S1351324918000050"},{"key":"2025053021205066809_j_itit-2024-0095_ref_019","unstructured":"D. Braun, \u201cAutomated semantic analysis, legal assessment, and summarization of standard form contracts,\u201d Ph.D. thesis, Technische Universit\u00e4t M\u00fcnchen, 2021."},{"key":"2025053021205066809_j_itit-2024-0095_ref_020","doi-asserted-by":"crossref","unstructured":"D. Braun and F. Matthes, \u201cNLP for consumer protection: battling illegal clauses in German terms and conditions in online shopping,\u201d in Proceedings of the 1st Workshop on NLP for Positive Impact. [Online], Association for Computational Linguistics, 2021, pp.\u00a093\u201399.","DOI":"10.18653\/v1\/2021.nlp4posimpact-1.10"},{"key":"2025053021205066809_j_itit-2024-0095_ref_021","doi-asserted-by":"crossref","unstructured":"D. Braun and F. Matthes, \u201cAGB-DE: a corpus for the automated legal assessment of clauses in German consumer contracts,\u201d in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), L.-W. Ku, A. Martins, and V. Srikumar, Eds., Bangkok, Thailand, Association for Computational Linguistics, 2024, pp.\u00a010389\u201310405.","DOI":"10.18653\/v1\/2024.acl-long.559"},{"key":"2025053021205066809_j_itit-2024-0095_ref_022","unstructured":"D. Braun, E. Scepankova, P. Holl, and F. Matthes, \u201cConsumer protection in the digital era: the potential of customer-centered legaltech,\u201d in INFORMATIK 2019: 50 Jahre Gesellschaft f\u00fcr Informatik \u2013 Informatik f\u00fcr Gesellschaft, K. David, K. Geihs, M. Lange, and G. Stumme, Eds., Bonn, Gesellschaft f\u00fcr Informatik e.V, 2019, pp.\u00a0407\u2013420."}],"container-title":["it - Information Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/itit-2024-0095\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/itit-2024-0095\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T21:21:01Z","timestamp":1748640061000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/itit-2024-0095\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,1]]},"references-count":22,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,4,24]]},"published-print":{"date-parts":[[2025,2,25]]}},"alternative-id":["10.1515\/itit-2024-0095"],"URL":"https:\/\/doi.org\/10.1515\/itit-2024-0095","relation":{},"ISSN":["1611-2776","2196-7032"],"issn-type":[{"type":"print","value":"1611-2776"},{"type":"electronic","value":"2196-7032"}],"subject":[],"published":{"date-parts":[[2025,2,1]]}}}