{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T20:24:41Z","timestamp":1775161481187,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T00:00:00Z","timestamp":1713312000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T00:00:00Z","timestamp":1713312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001663","name":"Volkswagen Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008483","name":"NOMIS Stiftung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008483","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007605","name":"Aarhus Universitet","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100007605","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Comput Soc Sc"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Social media is an important means of communication for political agencies, which makes it possible to engage with large sectors of the public. For institutions which are not directly elected by voters, such as the European Commission (EC), social media can be a strategic tool for increasing perceived legitimacy and citizen engagement, especially in contexts of high politicization. In this paper, we use natural language processing techniques to provide a comprehensive overview of how EC communication on Twitter has evolved between 2010 and 2022, with respect to both its topics and its style. Our analyses show that, over time, the focus of EC communication has shifted substantially from economy-, finance- and governance-related topics, towards social policy, digital and environmental policy, and identity. These changes have progressively differentiated the EC\u2019s profile from that of other institutions (especially more technocratic ones) and contributed to better alignment with engagement patterns of its social media audience. In addition, EC communication has become less neutral (in favor of more positive sentiment), simpler, and more readable, all features which are associated with more accessible and engaging messaging. Yet, while the EC currently scores better than most other reference agencies on several descriptors of accessibility, its style is still lexically more complex, less concrete and less action-oriented than that of other institutions. Alongside providing novel insights on how the EC\u2019s online communication and projected political identity have changed over time, this study lays the foundations for future experimental and hypothesis-driven work combining social media data with external data sources.<\/jats:p>","DOI":"10.1007\/s42001-024-00271-w","type":"journal-article","created":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T03:51:01Z","timestamp":1713325861000},"page":"1223-1274","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Communicating Europe: a computational analysis of the evolution of the European Commission\u2019s communication on Twitter"],"prefix":"10.1007","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9017-8088","authenticated-orcid":false,"given":"Roberta","family":"Rocca","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katharina","family":"Lawall","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manos","family":"Tsakiris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura","family":"Cram","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,17]]},"reference":[{"key":"271_CR1","doi-asserted-by":"publisher","unstructured":"Grande, E., & Hutter, S. (2016). In S. Hutter, E. Grande, & Kriesi, H. (eds.) Introduction: European Integration and the Challenge of Politicisation (pp. 3\u201331). Cambridge University Press. https:\/\/doi.org\/10.1017\/CBO9781316422991.002","DOI":"10.1017\/CBO9781316422991.002"},{"issue":"1","key":"271_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1017\/S0007123408000409","volume":"39","author":"L Hooghe","year":"2009","unstructured":"Hooghe, L., & Marks, G. (2009). A postfunctionalist theory of European integration: From permissive consensus to constraining dissensus. British Journal of Political Science, 39(1), 1\u201323. https:\/\/doi.org\/10.1017\/S0007123408000409","journal-title":"British Journal of Political Science"},{"issue":"3","key":"271_CR3","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1080\/13501763.2018.1453528","volume":"26","author":"C Rauh","year":"2019","unstructured":"Rauh, C. (2019). EU politicization and policy initiatives of the European Commission: The case of consumer policy. Journal of European Public Policy, 26(3), 344\u2013365. https:\/\/doi.org\/10.1080\/13501763.2018.1453528","journal-title":"Journal of European Public Policy"},{"key":"271_CR4","doi-asserted-by":"publisher","DOI":"10.1057\/978-1-137-59890-5","volume-title":"Social media and European politics: Rethinking power and legitimacy in the digital era. Palgrave Studies in European Political Sociology","author":"M Barisione","year":"2017","unstructured":"Barisione, M., & Michailidou, A. (2017). Social media and European politics: Rethinking power and legitimacy in the digital era. Palgrave Studies in European Political Sociology. Palgrave Macmillan."},{"issue":"1","key":"271_CR5","doi-asserted-by":"publisher","first-page":"133","DOI":"10.17645\/pag.v10i1.4686","volume":"10","author":"S \u00d6zdemir","year":"2022","unstructured":"\u00d6zdemir, S., & Rauh, C. (2022). A bird\u2019s eye view: Supranational EU actors on Twitter. Politics and Governance, 10(1), 133\u2013145. https:\/\/doi.org\/10.17645\/pag.v10i1.4686","journal-title":"Politics and Governance"},{"key":"271_CR6","doi-asserted-by":"crossref","unstructured":"Zaiotti, R. (2020). The (UN) making of international organisations\u2019 digital reputation: The European Union, the \u201crefugee crisis,\u201d and social media. In Digital diplomacy and international organisations. Routledge.","DOI":"10.4324\/9781003032724-12"},{"key":"271_CR7","first-page":"146","volume-title":"The commission and the law. The European Commission","author":"J Usher","year":"1994","unstructured":"Usher, J. (1994). The commission and the law. The European Commission (pp. 146\u201368). Longman."},{"key":"271_CR8","doi-asserted-by":"publisher","unstructured":"Bianchi, F., Terragni, S., Hovy, D., Nozza, D., & Fersini, E. (2021). Cross-lingual contextualized topic models with zero-shot learning. In Proceedings of the 16th conference of the European chapter of the Association for Computational Linguistics: Main volume, pp. 1676\u20131683. Association for Computational Linguistics, Online. https:\/\/doi.org\/10.18653\/v1\/2021.eacl-main.143. https:\/\/aclanthology.org\/2021.eacl-main.143. Accessed 2023-05-02.","DOI":"10.18653\/v1\/2021.eacl-main.143"},{"key":"271_CR9","doi-asserted-by":"publisher","unstructured":"Sanh, V., Debut, L., Chaumond, J., & Wolf, T. (2020). DistilBERT, a distilled version of BERT: Smaller, faster, cheaper and lighter. https:\/\/doi.org\/10.48550\/arXiv.1910.01108. arXiv:1910.01108. Accessed 2023-05-02.","DOI":"10.48550\/arXiv.1910.01108"},{"key":"271_CR10","doi-asserted-by":"publisher","unstructured":"Wolf, T., Debut, L., Sanh, V., Chaumond, J., Delangue, C., Moi, A., Cistac, P., Rault, T., Louf, R., Funtowicz, M., Davison, J., Shleifer, S., von Platen, P., Ma, C., Jernite, Y., Plu, J., Xu, C., Le\u00a0Scao, T., Gugger, S., Drame, M., Lhoest, Q., & Rush, A. (2020). Transformers: State-of-the-art natural language processing. In Proceedings of the 2020 conference on empirical methods in natural language processing: System demonstrations (pp. 38\u201345). Association for Computational Linguistics, Online. https:\/\/doi.org\/10.18653\/v1\/2020.emnlp-demos.6. https:\/\/aclanthology.org\/2020.emnlp-demos.6. Accessed 2023-05-02.","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"issue":"2","key":"271_CR11","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1111\/ajps.12423","volume":"63","author":"K Benoit","year":"2019","unstructured":"Benoit, K., Munger, K., & Spirling, A. (2019). Measuring and explaining political sophistication through textual complexity. American Journal of Political Science, 63(2), 491\u2013508. https:\/\/doi.org\/10.1111\/ajps.12423","journal-title":"American Journal of Political Science"},{"key":"271_CR12","doi-asserted-by":"publisher","DOI":"10.1080\/07036337.2022.2134860","author":"C Rauh","year":"2022","unstructured":"Rauh, C. (2022). Clear messages to the European public? The language of European Commission press releases 1985\u20132020. Journal of European Integration. https:\/\/doi.org\/10.1080\/07036337.2022.2134860","journal-title":"Journal of European Integration"},{"issue":"2","key":"271_CR13","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1080\/15705854.2013.785264","volume":"14","author":"C Ni\u0163oiu","year":"2013","unstructured":"Ni\u0163oiu, C. (2013). The narrative construction of the European Union in external relations. Perspectives on European Politics and Society, 14(2), 240\u2013255. https:\/\/doi.org\/10.1080\/15705854.2013.785264","journal-title":"Perspectives on European Politics and Society"},{"key":"271_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04405-3","volume-title":"The Digitalization of Public Diplomacy","author":"I Manor","year":"2019","unstructured":"Manor, I. (2019). The Digitalization of Public Diplomacy. Paris: Springer. https:\/\/doi.org\/10.1007\/978-3-030-04405-3"},{"key":"271_CR15","unstructured":"Cassidy, J. (2018). Digital diplomatic crisis communication: Reconceptualising diplomatic signalling in an age of real time governance. Technical report, DigDiploROx Working Paper No. 3."},{"issue":"2","key":"271_CR16","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1057\/s41254-019-00138-2","volume":"16","author":"E Hedling","year":"2020","unstructured":"Hedling, E. (2020). Storytelling in EU public diplomacy: Reputation management and recognition of success. Place Branding and Public Diplomacy, 16(2), 143\u2013152. https:\/\/doi.org\/10.1057\/s41254-019-00138-2","journal-title":"Place Branding and Public Diplomacy"},{"key":"271_CR17","doi-asserted-by":"publisher","first-page":"241","DOI":"10.15581\/003.36.2.241-269","volume":"36","author":"P Moral","year":"2023","unstructured":"Moral, P. (2023). Restoring reputation through digital diplomacy: The European union\u2019s strategic narratives on twitter during the covid-19 pandemic. Communication and Society, 36, 241\u2013269. https:\/\/doi.org\/10.15581\/003.36.2.241-269","journal-title":"Communication and Society"},{"issue":"3","key":"271_CR18","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1177\/1478929919893935","volume":"18","author":"KA Wright","year":"2020","unstructured":"Wright, K. A., & Guerrina, R. (2020). Imagining the European Union: Gender and digital diplomacy in European external relations. Political Studies Review, 18(3), 393\u2013409. https:\/\/doi.org\/10.1177\/1478929919893935","journal-title":"Political Studies Review"},{"key":"271_CR19","doi-asserted-by":"publisher","unstructured":"Bianchi, F., Terragni, S., & Hovy, D. (2021). Pre-training is a hot topic: Contextualized document embeddings improve topic coherence. In Proceedings of the 59th annual meeting of the Association for Computational Linguistics and the 11th international joint conference on natural language processing (Volume 2: Short Papers) (pp. 759\u2013766). Association for Computational Linguistics, Online. https:\/\/doi.org\/10.18653\/v1\/2021.acl-short.96. https:\/\/aclanthology.org\/2021.acl-short.96 Accessed 2023-05-02.","DOI":"10.18653\/v1\/2021.acl-short.96"},{"key":"271_CR20","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. In Advances in Neural Information Processing Systems (Vol. 30). Curran Associates, Inc."},{"key":"271_CR21","doi-asserted-by":"publisher","first-page":"26","DOI":"10.7717\/peerj-cs.26","volume":"1","author":"E Ferrara","year":"2015","unstructured":"Ferrara, E., & Yang, Z. (2015). Quantifying the effect of sentiment on information diffusion in social media. PeerJ Computer Science, 1, 26. https:\/\/doi.org\/10.7717\/peerj-cs.26","journal-title":"PeerJ Computer Science"},{"issue":"4","key":"271_CR22","doi-asserted-by":"publisher","first-page":"201756","DOI":"10.1098\/rsos.201756","volume":"8","author":"SM Jim\u00e9nez-Zafra","year":"2021","unstructured":"Jim\u00e9nez-Zafra, S. M., S\u00e1ez-Castillo, A. J., Conde-S\u00e1nchez, A., & Mart\u00edn-Valdivia, M. T. (2021). How do sentiments affect virality on Twitter? Royal Society Open Science, 8(4), 201756\u2013201756. https:\/\/doi.org\/10.1098\/rsos.201756","journal-title":"Royal Society Open Science"},{"issue":"4","key":"271_CR23","doi-asserted-by":"publisher","first-page":"217","DOI":"10.2753\/MIS0742-1222290408","volume":"29","author":"S Stieglitz","year":"2013","unstructured":"Stieglitz, S., & Dang-Xuan, L. (2013). Emotions and information diffusion in social media-sentiment of microblogs and sharing behavior. Journal of Management Information Systems, 29(4), 217\u2013248. https:\/\/doi.org\/10.2753\/MIS0742-1222290408","journal-title":"Journal of Management Information Systems"},{"issue":"4","key":"271_CR24","doi-asserted-by":"publisher","first-page":"977","DOI":"10.3758\/BRM.41.4.977","volume":"41","author":"M Brysbaert","year":"2009","unstructured":"Brysbaert, M., & New, B. (2009). Moving beyond Ku\u010dera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, 41(4), 977\u2013990. https:\/\/doi.org\/10.3758\/BRM.41.4.977","journal-title":"Behavior Research Methods"},{"issue":"6","key":"271_CR25","first-page":"490","volume":"26","author":"J Anderson","year":"1983","unstructured":"Anderson, J. (1983). Lix and Rix: Variations on a little-known readability index. Journal of Reading, 26(6), 490\u2013496.","journal-title":"Journal of Reading"},{"key":"271_CR26","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1037\/h0076540","volume":"60","author":"M Coleman","year":"1975","unstructured":"Coleman, M., & Liau, T. L. (1975). A computer readability formula designed for machine scoring. Journal of Applied Psychology, 60, 283\u2013284. https:\/\/doi.org\/10.1037\/h0076540","journal-title":"Journal of Applied Psychology"},{"key":"271_CR27","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1037\/h0057532","volume":"32","author":"R Flesch","year":"1948","unstructured":"Flesch, R. (1948). A new readability yardstick. Journal of Applied Psychology, 32, 221\u2013233. https:\/\/doi.org\/10.1037\/h0057532","journal-title":"Journal of Applied Psychology"},{"issue":"2","key":"271_CR28","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1177\/002194366900600202","volume":"6","author":"R Gunning","year":"1969","unstructured":"Gunning, R. (1969). The Fog Index after twenty years. Journal of Business Communication, 6(2), 3\u201313. https:\/\/doi.org\/10.1177\/002194366900600202","journal-title":"Journal of Business Communication"},{"issue":"8","key":"271_CR29","first-page":"639","volume":"12","author":"GH McLaughlin","year":"1969","unstructured":"McLaughlin, G. H. (1969). SMOG grading\u2014A new readability formula. Journal of Reading, 12(8), 639\u2013646.","journal-title":"Journal of Reading"},{"key":"271_CR30","doi-asserted-by":"crossref","unstructured":"Kincaid, J. P., Fishburne, R. P. J., Rogers, R. L., & Chissom, B. S. Derivation of new readability formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel. Technical report. Institute for Simulation and Training (1975). https:\/\/apps.dtic.mil\/sti\/citations\/ADA006655 Accessed 2023-05-03.","DOI":"10.21236\/ADA006655"},{"key":"271_CR31","unstructured":"Smith, E. A., & Senter, R. J. Automated Readability Index. Technical report (1967). https:\/\/apps.dtic.mil\/sti\/citations\/AD0667273. Accessed 2023-05-03."},{"issue":"3","key":"271_CR32","doi-asserted-by":"publisher","first-page":"904","DOI":"10.3758\/s13428-013-0403-5","volume":"46","author":"M Brysbaert","year":"2014","unstructured":"Brysbaert, M., Warriner, A. B., & Kuperman, V. (2014). Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods, 46(3), 904\u2013911. https:\/\/doi.org\/10.3758\/s13428-013-0403-5","journal-title":"Behavior Research Methods"},{"key":"271_CR33","doi-asserted-by":"publisher","unstructured":"Hansen, L., Olsen, L. R., & Enevoldsen, K. TextDescriptives: A Python package for calculating a large variety of metrics from text (2023). https:\/\/doi.org\/10.48550\/arXiv.2301.02057. arXiv:2301.02057 [cs]. Accessed 2023-05-02.","DOI":"10.48550\/arXiv.2301.02057"},{"key":"271_CR34","doi-asserted-by":"publisher","unstructured":"McNamara, Q., De\u00a0La\u00a0Vega, A., & Yarkoni, T. Developing a comprehensive framework for multimodal feature extraction. In Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201917 (pp. 1567\u20131574). Association for Computing Machinery (2017). https:\/\/doi.org\/10.1145\/3097983.3098075. https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098075. Accessed 2023-05-02.","DOI":"10.1145\/3097983.3098075"},{"key":"271_CR35","doi-asserted-by":"publisher","unstructured":"Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. RoBERTa: A robustly optimized BERT pretraining approach (2019). arXiv:1907.11692 [cs]. https:\/\/doi.org\/10.48550\/arXiv.1907.11692. Accessed 2023-05-02.","DOI":"10.48550\/arXiv.1907.11692"},{"key":"271_CR36","doi-asserted-by":"publisher","unstructured":"Barbieri, F., Camacho-Collados, J., Neves, L., & Espinosa-Anke, L. TweetEval: Unified benchmark and comparative evaluation for Tweet classification (2020). https:\/\/doi.org\/10.48550\/arXiv.2010.12421. arXiv:2010.12421 [cs]. Accessed 2023-05-02.","DOI":"10.48550\/arXiv.2010.12421"},{"issue":"1","key":"271_CR37","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1214\/aoms\/1177703732","volume":"35","author":"PJ Huber","year":"1964","unstructured":"Huber, P. J. (1964). Robust estimation of a location parameter. The Annals of Mathematical Statistics, 35(1), 73\u2013101. https:\/\/doi.org\/10.1214\/aoms\/1177703732","journal-title":"The Annals of Mathematical Statistics"},{"key":"271_CR38","doi-asserted-by":"publisher","unstructured":"Chen, T., & Guestrin, C. XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201916 (pp. 785\u2013794). Association for Computing Machinery (2016). https:\/\/doi.org\/10.1145\/2939672.2939785. https:\/\/dl.acm.org\/doi\/10.1145\/2939672.2939785. Accessed 2023-05-02.","DOI":"10.1145\/2939672.2939785"},{"issue":"3","key":"271_CR39","doi-asserted-by":"publisher","first-page":"251524592110268","DOI":"10.1177\/25152459211026864","volume":"4","author":"R Rocca","year":"2021","unstructured":"Rocca, R., & Yarkoni, T. (2021). Putting psychology to the test: Rethinking model evaluation through benchmarking and prediction. Advances in Methods and Practices in Psychological Science, 4(3), 25152459211026864. https:\/\/doi.org\/10.1177\/25152459211026864","journal-title":"Advances in Methods and Practices in Psychological Science"},{"key":"271_CR40","volume-title":"Advances in neural information processing systems","author":"SM Lundberg","year":"2017","unstructured":"Lundberg, S. M., & Lee, S.-I. (2017). A unified approach to interpreting model predictions. Advances in neural information processing systems.  (Vol. 30). Curran Associates Inc."},{"key":"271_CR41","doi-asserted-by":"publisher","unstructured":"Reimers, N., & Gurevych, I. Sentence-BERT: Sentence embeddings using Siamese BERT-networks. In Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP) (pp. 3982\u20133992). Association for Computational Linguistics (2019). https:\/\/doi.org\/10.18653\/v1\/D19-1410. https:\/\/aclanthology.org\/D19-1410. Accessed 2023-05-02.","DOI":"10.18653\/v1\/D19-1410"},{"key":"271_CR42","doi-asserted-by":"publisher","unstructured":"R\u00f6der, M., Both, A., & Hinneburg, A. Exploring the space of topic coherence measures. In Proceedings of the eighth ACM international conference on web search and data mining. WSDM \u201915 (pp. 399\u2013408). Association for Computing Machinery (2015). https:\/\/doi.org\/10.1145\/2684822.2685324. https:\/\/dl.acm.org\/doi\/10.1145\/2684822.2685324. Accessed 2023-05-02.","DOI":"10.1145\/2684822.2685324"},{"key":"271_CR43","doi-asserted-by":"publisher","unstructured":"Hoyle, A., Goel, P., Sarkar, R., & Resnik, P. Are neural topic models broken? (2022). https:\/\/doi.org\/10.48550\/arXiv.2210.16162. arXiv:2210.16162. Accessed 2023-05-02.","DOI":"10.48550\/arXiv.2210.16162"},{"key":"271_CR44","doi-asserted-by":"publisher","unstructured":"Zhou, H., Yang, Y., & Qian, W. Tweedie gradient boosting for extremely unbalanced zero-inflated data (2019). https:\/\/doi.org\/10.48550\/arXiv.1811.10192. arXiv:1811.10192. Accessed 2023-05-02.","DOI":"10.48550\/arXiv.1811.10192"}],"container-title":["Journal of Computational Social Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42001-024-00271-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42001-024-00271-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42001-024-00271-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T15:02:29Z","timestamp":1728054149000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42001-024-00271-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,17]]},"references-count":44,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["271"],"URL":"https:\/\/doi.org\/10.1007\/s42001-024-00271-w","relation":{},"ISSN":["2432-2717","2432-2725"],"issn-type":[{"value":"2432-2717","type":"print"},{"value":"2432-2725","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,17]]},"assertion":[{"value":"30 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 March 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 April 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"RR: . KL: Not available. MT: . LC: Not available.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Authors\u2019 Google Scholar Profiles"}}]}}