{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T19:32:10Z","timestamp":1776454330589,"version":"3.51.2"},"publisher-location":"Cham","reference-count":44,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031390586","type":"print"},{"value":"9783031390593","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-39059-3_31","type":"book-chapter","created":{"date-parts":[[2023,7,30]],"date-time":"2023-07-30T13:01:37Z","timestamp":1690722097000},"page":"466-479","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["CSR & Sentiment Analysis: A New Customized Dictionary"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9509-8773","authenticated-orcid":false,"given":"Emma","family":"Zavarrone","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9565-6568","authenticated-orcid":false,"given":"Alessia","family":"Forciniti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,31]]},"reference":[{"issue":"4","key":"31_CR1","first-page":"932","volume":"38","author":"H Aguinis","year":"2012","unstructured":"Aguinis, H., Glavas, A.: What we know and don\u2019t know about corporate social responsibility: a review and research agenda. J. Manage. 38(4), 932\u2013968 (2012)","journal-title":"J. Manage."},{"issue":"17","key":"31_CR2","doi-asserted-by":"publisher","first-page":"1425","DOI":"10.1080\/09603100701857922","volume":"18","author":"I Arnold","year":"2008","unstructured":"Arnold, I., Vrugt, E.: Fundamental uncertainty and stock market volatility. Appl. Financ. Econ. 18(17), 1425\u20131440 (2008)","journal-title":"Appl. Financ. Econ."},{"key":"31_CR3","unstructured":"Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: Calzolari, N., Choukri, K., Maegaard, B., et al. (eds.) Proceedings of the International Conference on Language Resources and Evaluation, LREC 2010. European Language Resources Association (ELRA), Valletta, Malta (2010)"},{"key":"31_CR4","unstructured":"Carpenter, G., White, P.: Sustainable development: finding the real business case. Corp. Environ. Strat.: Int. J. Sustain. Bus. 11 (2), 51\u201356 (2004)"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Catelli, R., Pelosi, S., Espostio, M.: Lexicon-based vs. BERT-based sentiment analysis: a comparative study in Italian. Electronics 11(3), 374 (2022)","DOI":"10.3390\/electronics11030374"},{"key":"31_CR6","unstructured":"Chandler, D., Werther, W.B.: Strategic Corporate Social Responsibility. Stakeholders, Globalization, and Sustainable Value Creation, 3\u0142 ed. SAGE Publications Inc., Thousand Oaks, CA(2014)"},{"key":"31_CR7","doi-asserted-by":"publisher","unstructured":"Che, S., Li, X.: RETRACTED ARTICLE: HCI with DEEP learning for sentiment analysis of corporate social responsibility report. Curr. Psychol., 1\u20131 (2020). https:\/\/doi.org\/10.1007\/s12144-020-00789-y","DOI":"10.1007\/s12144-020-00789-y"},{"issue":"4","key":"31_CR8","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1016\/j.dss.2010.08.023","volume":"50","author":"CC Chin","year":"2011","unstructured":"Chin, C.C., Tseng, Y.-D.: Quality evaluation of product reviews using an information quality framework. Decis. Support Syst. 50(4), 755\u2013768 (2011). https:\/\/doi.org\/10.1016\/j.dss.2010.08.023","journal-title":"Decis. Support Syst."},{"issue":"7","key":"31_CR9","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1108\/TQM-11-2020-0264","volume":"33","author":"B Esposito","year":"2021","unstructured":"Esposito, B., Sessa, M.R., Sica, D., Malandrino, O.: Exploring corporate social responsibility in the Italian wine sector through websites. TQM J. 33(7), 222\u2013252 (2021)","journal-title":"TQM J."},{"key":"31_CR10","unstructured":"Esuli, A., Sebastiani, F.: SENTIWORDNET: a publicly available lexical resource for opinion mining. In: Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC 2006). European Language Resources Association (ELRA), Genoa, Italy (2006)"},{"issue":"3","key":"31_CR11","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/0378-8733(78)90021-7","volume":"1","author":"LC Freeman","year":"1978","unstructured":"Freeman, L.C.: Centrality in social networks: conceptual clarification. Soc. Netw. 1(3), 215\u2013239 (1978)","journal-title":"Soc. Netw."},{"key":"31_CR12","unstructured":"Gazzetta Ufficiale della Repubblica Italiana: Legislative Decree n. 254 (2016). https:\/\/www.gazzettaufficiale.it\/eli\/id\/2017\/01\/10\/17G00002\/sg. Accessed Apr 2023"},{"issue":"18","key":"31_CR13","doi-asserted-by":"publisher","first-page":"1875","DOI":"10.1016\/j.jclepro.2006.12.006","volume":"15","author":"P Glavic","year":"2007","unstructured":"Glavic, P., Lukman, R.: Review of sustainability terms and their definitions. J. Clean. Prod. 15(18), 1875\u20131885 (2007). https:\/\/doi.org\/10.1016\/j.jclepro.2006.12.006","journal-title":"J. Clean. Prod."},{"issue":"4","key":"31_CR14","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1177\/0021943608319388","volume":"45","author":"E Henry","year":"2008","unstructured":"Henry, E.: Are investors influenced by how earnings press releases are written? J. Bus. Commun. 45(4), 363\u2013407 (2008). https:\/\/doi.org\/10.1177\/0021943608319388","journal-title":"J. Bus. Commun."},{"key":"31_CR15","first-page":"3912","volume":"13","author":"M Hilbert","year":"2019","unstructured":"Hilbert, M., Barnett, G., Blumenstock, J., Contractor, N., Diesner, J., Frey, S., et al.: Computational communication science: a methodological catalyzer for a maturing discipline. Int. J. Commun. 13, 3912\u20133934 (2019)","journal-title":"Int. J. Commun."},{"key":"31_CR16","unstructured":"Hu, M., Liu, B.: Mining opinion features in customer reviews. In: Proceedings of the AAAI Conference on Artificial Intelligence, $$19^th$$, pp. 755\u2013760 (2004)"},{"issue":"2","key":"31_CR17","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1016\/j.csl.2010.07.004","volume":"25","author":"Y Hu","year":"2011","unstructured":"Hu, Y., Li, W.: Document sentiment classification by exploring description model of topical. Comput. Speech Lang. 25(2), 386\u2013403 (2011). https:\/\/doi.org\/10.1016\/j.csl.2010.07.004","journal-title":"Comput. Speech Lang."},{"issue":"5","key":"31_CR18","doi-asserted-by":"publisher","first-page":"6000","DOI":"10.1016\/j.eswa.2011.11.107","volume":"39","author":"H Kang","year":"2012","unstructured":"Kang, H., Yoo, S.J., Han, D.: Senti-lexicon and improved Naive Bayes algorithms for sentiment analysis of restaurant reviews. Expert Syst. Appl. 39(5), 6000\u20136010 (2012). https:\/\/doi.org\/10.1016\/j.eswa.2011.11.107","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"31_CR19","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1093\/joc\/jqz038","volume":"69","author":"J Kleinnijenhuis","year":"2019","unstructured":"Kleinnijenhuis, J., Van Hoof, A.M., Van Atteveldt, W.: The combined effects of mass media and social media on political perceptions and preferences. J. Commun. 69(6), 650\u2013673 (2019). https:\/\/doi.org\/10.1093\/joc\/jqz038","journal-title":"J. Commun."},{"issue":"4","key":"31_CR20","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1002\/csr.2162","volume":"28","author":"V Lagasio","year":"2021","unstructured":"Lagasio, V., Cucari, N., \u00c5berg, C.: How corporate social responsibility initiatives affect the choice of a bank: empirical evidence of Italian context. Corp. Soc. Responsib. Environ. Manage. 28(4), 1348\u20131359 (2021). https:\/\/doi.org\/10.1002\/csr.2162","journal-title":"Corp. Soc. Responsib. Environ. Manage."},{"key":"31_CR21","doi-asserted-by":"publisher","unstructured":"Lengauer, G., Esser, F., Berganza, R.: Negativity in political news: a review of concepts, operationalizations and key findings. Journalism: Theory Pract. Criticism 69(6), 179\u2013202 (2012) https:\/\/doi.org\/10.1177\/1464884911427800","DOI":"10.1177\/1464884911427800"},{"key":"31_CR22","unstructured":"Liu, B.: Sentiment analysis and subjectivity. In: Indurkhya, N. and Damerau, J. (eds.) Handbook of Natural Language Processing (Second Edition), pp. 627\u2013666 (2010)"},{"issue":"6","key":"31_CR23","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1111\/j.1540-6261.2010.01625.x","volume":"66","author":"T Loughran","year":"2011","unstructured":"Loughran, T., Mcdonald, B.: When is a liability not a liability? textual analysis, dictionaries, and 10-Ks. J. Finan. 66(6), 35\u201365 (2011). https:\/\/doi.org\/10.1111\/j.1540-6261.2010.01625.x","journal-title":"J. Finan."},{"issue":"1","key":"31_CR24","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1080\/19312458.2019.1639144","volume":"13","author":"DB Margolin","year":"2019","unstructured":"Margolin, D.B.: Computational contributions: a symbiotic approach to integrating big, observational data studies into the communication field. Commun. Methods Meas. 13(1), 229\u2013247 (2019). https:\/\/doi.org\/10.1080\/19312458.2019.1639144","journal-title":"Commun. Methods Meas."},{"issue":"2","key":"31_CR25","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1111\/j.1460-2466.2008.00384.x","volume":"58","author":"J Matthes","year":"2008","unstructured":"Matthes, J., Kohring, M.: The content analysis of media frames: toward improving reliability and validity. J. Commun. 58(2), 258\u2013279 (2008). https:\/\/doi.org\/10.1111\/j.1460-2466.2008.00384.x","journal-title":"J. Commun."},{"issue":"5","key":"31_CR26","first-page":"1480","volume":"37","author":"A McWilliams","year":"2011","unstructured":"McWilliams, A., Siegel, D.S.: Creating and capturing value: strategic corporate social responsibility, resource-based theory, and sustainable competitive advantage. J. Manage. 37(5), 1480\u20131495 (2011)","journal-title":"J. Manage."},{"key":"31_CR27","unstructured":"Meriton, X.: Domain independence of Machine Learning and lexicon based methods in sentiment analysis (2020). http:\/\/essay.utwente.nl\/81995\/. Accessed 4 Apr 2023"},{"key":"31_CR28","unstructured":"Mohammad, S., Turney, P.: Emotions evoked by common words and phrases: using mechanical Turk to create an emotion lexicon. In: Proceedings of the NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp. 26\u201334. Association for Computational Linguistics, Los Angeles, CA (2010)"},{"issue":"42","key":"31_CR29","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1111\/j.1467-8608.2006.00460.x","volume":"15","author":"M Morsing","year":"2006","unstructured":"Morsing, M., Schultz, M.: Corporate social responsibility communication: stakeholder information, response and involvement strategies. Bus. Ethics: Eur. Rev. 15(42), 323\u2013338 (2006). https:\/\/doi.org\/10.1111\/j.1467-8608.2006.00460.x","journal-title":"Bus. Ethics: Eur. Rev."},{"key":"31_CR30","doi-asserted-by":"publisher","first-page":"3351","DOI":"10.1016\/j.procs.2021.09.108","volume":"192","author":"P Mu\u0107ko","year":"2021","unstructured":"Mu\u0107ko, P.: Sentiment analysis of CSR disclosures in annual reports of EU companies. Procedia Comput. Sci. 192, 3351\u20133359 (2021). https:\/\/doi.org\/10.1016\/j.procs.2021.09.108","journal-title":"Procedia Comput. Sci."},{"key":"31_CR31","doi-asserted-by":"publisher","unstructured":"Nielsen, F.A.: A new ANEW: evaluation of a word list for sentiment analysis in microblogs. In: Proceedings of the ESWC2011, Workshop on Making Sense of Microposts: Big Things Come in Small Packages, pp. 93-98 (2011) https:\/\/doi.org\/10.48550\/arXiv.1103.2903","DOI":"10.48550\/arXiv.1103.2903"},{"issue":"90","key":"31_CR32","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.neucom.2012.01.030","volume":"92","author":"J Ortigosa-Hernandez","year":"2012","unstructured":"Ortigosa-Hernandez, J., Rodriguez, J.D., Alzate, L., et al.: Approaching sentiment analysis by using semi-supervised learning of multi-dimensional classifiers. Neurocomputing 92(90), 98\u2013115 (2012). https:\/\/doi.org\/10.1016\/j.neucom.2012.01.030","journal-title":"Neurocomputing"},{"key":"31_CR33","first-page":"1","volume":"192","author":"B Pang","year":"2008","unstructured":"Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends Inf. Retrieval 192, 1\u2013135 (2008)","journal-title":"Found. Trends Inf. Retrieval"},{"key":"31_CR34","unstructured":"Pianta, E., Bentivogli, L. Girardi, C.: MultiWordNet: developing an aligned multilingual database. In: Proceedings of the 1$$^st$$ International WordNet Conference, Mysore, India, pp. 293\u2013302 (2002)"},{"key":"31_CR35","doi-asserted-by":"crossref","unstructured":"Plutchik, R.: A general psychoevolutionary theory of emotion. In: R. Plutchik & H. Kellerman (eds.) Emotion: Theory, Research and Experience. Theories of Emotion, pp. 3\u201333 (1980)","DOI":"10.1016\/B978-0-12-558701-3.50007-7"},{"issue":"4","key":"31_CR36","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1111\/j.1460-2466.2003.tb02916.x","volume":"53","author":"S Rodgers","year":"2003","unstructured":"Rodgers, S., Thorson, E.: A socialization perspective on male and female reporting. J. Commun. 53(4), 658\u2013675 (2003). https:\/\/doi.org\/10.1111\/j.1460-2466.2003.tb02916.x","journal-title":"J. Commun."},{"issue":"24","key":"31_CR37","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1111\/jcom.12284","volume":"67","author":"J Shin","year":"2017","unstructured":"Shin, J., Thorson, K.: Partisan selective sharing: the biased diffusion of fact-checking messages on social media. J. Commun. 67(24), 233\u2013255 (2017). https:\/\/doi.org\/10.1111\/jcom.12284","journal-title":"J. Commun."},{"issue":"1","key":"31_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40854-018-0086-0","volume":"4","author":"Y Song","year":"2018","unstructured":"Song, Y., Wang, H., Zhu, M.: Sustainable strategy for corporate governance based on the sentiment analysis of financial reports with CSR. Financ. Innov. 4(1), 1\u201314 (2018). https:\/\/doi.org\/10.1186\/s40854-018-0086-0","journal-title":"Financ. Innov."},{"key":"31_CR39","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s10551-005-7054-0","volume":"61","author":"R Steurer","year":"2005","unstructured":"Steurer, R., Langer, M.E., Konrad, A., Martinuzzi, A.: Corporations, stakeholders and sustainable development: a theoretical exploration of business-society relations. J. Bus. Ethics 61, 263\u2013281 (2005)","journal-title":"J. Bus. Ethics"},{"key":"31_CR40","unstructured":"Tong, R.: An operational system for detecting and tracking opinions in on-line discussions. In: Working Notes of the ACM SIGIR 2001 Workshop on Operational Text Classification, pp. 1\u20136 (2001)"},{"issue":"4","key":"31_CR41","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1145\/944012.944013","volume":"21","author":"PD Turney","year":"2003","unstructured":"Turney, P.D., Littman, M.L.: Measuring praise and criticism: inference of semantic orientation from association. ACM Trans. Inf. Syst. 21(4), 315\u2013346 (2003). https:\/\/doi.org\/10.1145\/944012.944013","journal-title":"ACM Trans. Inf. Syst."},{"key":"31_CR42","doi-asserted-by":"publisher","unstructured":"Van Atteveldt, W., Welbers, K., Van der Velden, M.A.C.G.: Studying political decision-making with automatic text analysis. In: Oxford Research Encyclopedia of Politics (2019). https:\/\/doi.org\/10.1093\/acrefore\/9780190228637.013.957","DOI":"10.1093\/acrefore\/9780190228637.013.957"},{"key":"31_CR43","doi-asserted-by":"crossref","unstructured":"Vassallo, M., et al.: Polarity Imbalance in Lexicon-based sentiment analysis. In: Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020, Bologna (2020)","DOI":"10.4000\/books.aaccademia.8964"},{"key":"31_CR44","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511815478","volume-title":"Social Network Analysis: Methods and Applications","author":"S Wasserman","year":"1994","unstructured":"Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994)"}],"container-title":["Communications in Computer and Information Science","Deep Learning Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39059-3_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,30]],"date-time":"2023-07-30T13:07:09Z","timestamp":1690722429000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39059-3_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031390586","9783031390593"],"references-count":44,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39059-3_31","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DeLTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Deep Learning Theory and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"delta2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/delta.scitevents.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"PRIMORIS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"9","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}