{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:42:03Z","timestamp":1760240523879,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T00:00:00Z","timestamp":1562716800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The kinds of interactions taking place in an online personal finance forum and the sentiments expressed in its posts may influence the diffusion and usefulness of those forums. We explore a set of major threads on a personal finance forum to assess the degree of participation of posters and the prevailing sentiments. The participation appears to be dominated by a small number of posters, with the most frequent poster contributing even more than a third of all posts. Just a small fraction of all possible direct interactions actually take place. Dominance is also confirmed by the large presence of self-replies (i.e., a poster submitting several posts in succession) and rejoinders (i.e., a poster counter-replying to another poster). Though trust is the prevailing sentiment, anger and fear appear to be present as well, though at a lower level, revealing that posts exhibit both aggressive and defensive tones.<\/jats:p>","DOI":"10.3390\/info10070237","type":"journal-article","created":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T11:56:51Z","timestamp":1562759811000},"page":"237","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Interactions and Sentiment in Personal Finance Forums: An Exploratory Analysis"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0903-398X","authenticated-orcid":false,"given":"Maurizio","family":"Naldi","sequence":"first","affiliation":[{"name":"Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy"},{"name":"Department of Law, Economics, Politics and Modern languages, LUMSA University, Via Marcantonio Colonna 19, 00192 Rome, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Hallam, J. (2012). The Social Media Manifesto, Springer.","DOI":"10.1057\/9781137271426"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1108\/10662240810883290","article-title":"The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities","volume":"18","author":"Cheung","year":"2008","journal-title":"Internet Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.ijinfomgt.2015.11.005","article-title":"Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning","volume":"37","author":"Wang","year":"2017","journal-title":"Int. J. Inf. Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1089\/cpb.2008.0109","article-title":"How consumers evaluate eWOM (electronic word-of-mouth) messages","volume":"12","author":"Doh","year":"2009","journal-title":"Cyberpsychol. Behav."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.ijinfomgt.2016.08.004","article-title":"Analyzing electronic word of mouth: A social commerce construct","volume":"37","author":"Ahmad","year":"2017","journal-title":"Int. J. Inf. Manag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.1016\/j.ijinfomgt.2016.03.015","article-title":"A longitudinal exploration of the relations between electronic word-of-mouth indicators and firms\u2019 profitability: Findings from the banking industry","volume":"36","author":"Tang","year":"2016","journal-title":"Int. J. Inf. Manag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"41","DOI":"10.2469\/faj.v57.n3.2449","article-title":"News or Noise? Internet Postings and Stock Prices","volume":"57","author":"Tumarkin","year":"2001","journal-title":"Financ. Anal. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s10462-017-9588-9","article-title":"Natural language based financial forecasting: A survey","volume":"50","author":"Xing","year":"2018","journal-title":"Artif. Intell. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1016\/j.ijinfomgt.2015.04.009","article-title":"Understanding online community citizenship behaviors through social support and social identity","volume":"35","author":"Chiu","year":"2015","journal-title":"Int. J. Inf. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1016\/j.ijinfomgt.2013.08.005","article-title":"Relationships among community interaction characteristics, perceived benefits, community commitment, and oppositional brand loyalty in online brand communities","volume":"33","author":"Kuo","year":"2013","journal-title":"Int. J. Inf. Manag."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1109\/MCI.2018.2866727","article-title":"Intelligent asset allocation via market sentiment views","volume":"13","author":"Xing","year":"2018","journal-title":"IEEE Comput. Intell. Mag."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1007\/s12559-018-9609-2","article-title":"Public mood\u2013driven asset allocation: The importance of financial sentiment in portfolio management","volume":"10","author":"Malandri","year":"2018","journal-title":"Cogn. Comput."},{"key":"ref_13","unstructured":"(2018, December 28). SavingAdvice Website. Available online: https:\/\/www.savingadvice.com\/forums\/."},{"key":"ref_14","unstructured":"(2018, December 28). Should US Wealth Be Redistributed?. Available online: https:\/\/www.savingadvice.com\/forums\/forum\/financial-chit-chat\/personal-finance\/4905-should-us-wealth-be-redistributed."},{"key":"ref_15","unstructured":"(2018, December 28). The Problem With Being Budget Minded Is Other People. Available online: https:\/\/www.savingadvice.com\/forums\/forum\/financial-chit-chat\/personal-finance\/8056-."},{"key":"ref_16","unstructured":"(2018, December 28). Health Care and the Alternative Point of View. Available online: https:\/\/www.savingadvice.com\/forums\/forum\/financial-chit-chat\/personal-finance\/42558-."},{"key":"ref_17","unstructured":"(2018, December 28). Indexed Universal Life Insurance. Available online: https:\/\/www.savingadvice.com\/forums\/forum\/financial-chit-chat\/personal-finance\/55109-."},{"key":"ref_18","unstructured":"(2018, December 28). First Real Job...No Idea How to Save. Available online: https:\/\/www.savingadvice.com\/forums\/forum\/financial-chit-chat\/personal-finance\/53153-."},{"key":"ref_19","unstructured":"Bodrunova, S.S., and Blekanov, I.S. (June, January 30). Power laws in ad hoc conflictual discussions on Twitter. Proceedings of the International Conference on Digital Transformation and Global Society, St. Petersburg, Russia."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Read, C.B. (2004). Zipf\u2019s Law. Encyclopedia of Statistical Sciences, Wiley.","DOI":"10.1002\/0471667196.ess2981"},{"key":"ref_21","unstructured":"Zipf, G.K. (2016). Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology, Ravenio Books."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/S0378-4371(00)00464-7","article-title":"Power laws in cities population, financial markets and internet sites (scaling in systems with a variable number of components)","volume":"287","author":"Blank","year":"2000","journal-title":"Phys. A Stat. Mech. Appl."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2115","DOI":"10.1126\/science.287.5461.2115a","article-title":"Power-law distribution of the world wide web","volume":"287","author":"Adamic","year":"2000","journal-title":"Science"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1818","DOI":"10.1126\/science.1062081","article-title":"Zipf distribution of US firm sizes","volume":"293","author":"Axtell","year":"2001","journal-title":"Science"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1002\/ett.1084","article-title":"Rank-size distribution of teletraffic and customers over a wide area network","volume":"17","author":"Naldi","year":"2006","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"ref_26","first-page":"188","article-title":"The Herfindahl-Hirschman Index","volume":"79","author":"Rhoades","year":"1993","journal-title":"Fed. Res. Bull."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/S0165-1765(02)00251-3","article-title":"Concentration indices and Zipf\u2019s law","volume":"78","author":"Naldi","year":"2003","journal-title":"Econ. Lett."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1111\/1759-3441.12187","article-title":"Censoring and Distortion in the Hirschman\u2013Herfindahl Index Computation","volume":"36","author":"Naldi","year":"2017","journal-title":"Econ. Papers J. Appl. Econ. Policy"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.9734\/BJEMT\/2016\/23193","article-title":"Similarities and Differences between the CR and HHI as an Indicator of Market Concentration and Market Power","volume":"13","author":"Pavic","year":"2016","journal-title":"Br. J. Econ. Manag. Trade"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Naldi, M., and Flamini, M. (2019, July 09). Correlation and Concordance between the  CR 4 Index and the Herfindahl-Hirschman Index. SSRN Working Paper Series 2014. Available online: https:\/\/ssrn.com\/abstract=2502764.","DOI":"10.2139\/ssrn.2502764"},{"key":"ref_31","unstructured":"The U.S. Department of Justice and the Federal Trade Commission (2019, July 09). Horizontal Merger Guidelines, Available online: https:\/\/www.justice.gov\/atr\/horizontal-merger-guidelines-08192010."},{"key":"ref_32","unstructured":"Naldi, M., and Flamini, M. (2019, July 09). The CR4 Index and the Interval Estimation of the Herfindahl-Hirschman Index: An Empirical Comparison. Available online: https:\/\/ssrn.com\/abstract=2448656."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1023\/A:1024948912805","article-title":"Of timing, turn-taking, and conversations","volume":"27","author":"Cowley","year":"1998","journal-title":"J. Psycholinguist. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"731","DOI":"10.3389\/fpsyg.2015.00731","article-title":"Timing in turn-taking and its implications for processing models of language","volume":"6","author":"Levinson","year":"2015","journal-title":"Front. Psychol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/MIS.2016.31","article-title":"Affective computing and sentiment analysis","volume":"31","author":"Cambria","year":"2016","journal-title":"IEEE Intell. Syst."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Kwartler, T. (2017). Text Mining in Practice with R, John Wiley & Sons.","DOI":"10.1002\/9781119282105"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Majumder, N., Poria, S., Hazarika, D., Mihalcea, R., Gelbukh, A., and Cambria, E. (2018). Dialoguernn: An attentive rnn for emotion detection in conversations. arXiv.","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1111\/j.1467-8640.2012.00460.x","article-title":"Crowdsourcing a word\u2013emotion association lexicon","volume":"29","author":"Mohammad","year":"2013","journal-title":"Comput. Intell."},{"key":"ref_39","unstructured":"Mohammad, S.M., and Turney, P.D. (2010, January 5). Emotions evoked by common words and phrases: Using Mechanical Turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, Los Angeles, CA, USA."},{"key":"ref_40","unstructured":"Naldi, M. (2019). A review of sentiment computation methods with R packages. arXiv."},{"key":"ref_41","first-page":"197","article-title":"Emotions: A general psychoevolutionary theory","volume":"1984","author":"Plutchik","year":"1984","journal-title":"Approaches Emot."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/10\/7\/237\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:04:20Z","timestamp":1760187860000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/10\/7\/237"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,10]]},"references-count":41,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2019,7]]}},"alternative-id":["info10070237"],"URL":"https:\/\/doi.org\/10.3390\/info10070237","relation":{},"ISSN":["2078-2489"],"issn-type":[{"type":"electronic","value":"2078-2489"}],"subject":[],"published":{"date-parts":[[2019,7,10]]}}}