<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.4 20241031//EN"
        "https://jats.nlm.nih.gov/publishing/1.4/JATS-journalpublishing1-4.dtd">
<article  article-type="research-article"        dtd-version="1.4">
            <front>

                <journal-meta>
                                                                <journal-id>jefa</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Journal of Economics Finance and Accounting</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2148-6697</issn>
                                                                                            <publisher>
                    <publisher-name>Suat TEKER</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id/>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Finance</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Finans</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>THE ABILENE PARADOX AND COLLECTIVE IRRATIONALITY IN CRYPTOCURRENCY MARKETS: A SOCIAL MEDIA SENTIMENT ANALYSIS</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-2261-8691</contrib-id>
                                                                <name>
                                    <surname>Jia-Ying</surname>
                                    <given-names>Lyu</given-names>
                                </name>
                                                                    <aff>National Sun Yat-sen University</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20251231">
                    <day>12</day>
                    <month>31</month>
                    <year>2025</year>
                </pub-date>
                                        <volume>12</volume>
                                        <issue>2</issue>
                                        <fpage>162</fpage>
                                        <lpage>176</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20251102">
                        <day>11</day>
                        <month>02</month>
                        <year>2025</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20251220">
                        <day>12</day>
                        <month>20</month>
                        <year>2025</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2014, Journal of Economics Finance and Accounting</copyright-statement>
                    <copyright-year>2014</copyright-year>
                    <copyright-holder>Journal of Economics Finance and Accounting</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>Purpose- This study investigates the manifestation of the Abilene Paradox within the context of collective irrational behavior incryptocurrency markets, utilizing social media data for sentiment analysis. The Abilene Paradox describes a phenomenon where a groupcollectively decides on a course of action that is contrary to the preferences of most or all individuals, as each mistakenly believes it alignswith the desires of others. In the highly community-driven cryptocurrency market, this paradox can exacerbate herd behavior and the Fearof Missing Out (FOMO), leading to significant market volatility.Methodology- Through sentiment analysis of discussions on social media platforms (e.g., Twitter, Reddit) concerning specificcryptocurrencies (e.g., Meme Coins), this research explores how community sentiment influences market behavior and price movements.Findings- The study considers the impact of community variables (e.g., community size, opinion leader influence), sentiment variables (e.g.,positive/negative sentiment indices, sentiment polarization), and market variables (e.g., trading volume, price volatility) on collectiveirrational behavior.Conclusion- It aims to establish a generalized model explaining the relationship between social media sentiment and market behavior. Thefindings will contribute to understanding the behavioral economics characteristics of cryptocurrency markets and offer new perspectivesfor investors and regulators.</p></abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Abilene Paradox</kwd>
                                                    <kwd>  misperceived consensus</kwd>
                                                    <kwd>  social media sentiment</kwd>
                                                    <kwd>  meme coins</kwd>
                                                    <kwd>  volatility</kwd>
                                            </kwd-group>
                            
                                                                                                                        </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">Anaza, N. A., Upadhyaya, B., Bennett, D. H. S., &amp; Ruvalcaba, C. (2024). Is it FOMO or is it ME? The influence of personality traits on
cryptocurrency consumption. Psychology &amp; Marketing, 41(1), 184–202. https://doi.org/10.1002/mar.21919</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">Antweiler, W., &amp; Frank, M. Z. (2004). Is all that talk just noise? The information content of Internet stock message boards. The Journal of
Finance, 59(3), 1259–1294. https://doi.org/10.1111/j.1540-6261.2004.00662.x</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797–817.
https://doi.org/10.2307/2118364</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">Barber, B. M., &amp; Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. The Quarterly Journal of
Economics, 116(1), 261–292. https://doi.org/10.1162/003355301556400</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">Baur, D. G., Hong, K., &amp; Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets,
Institutions and Money, 54, 177–189. https://doi.org/10.1016/j.intfin.2017.12.004</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">Blei, D. M., Ng, A. Y., &amp; Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">Bollen, J., Mao, H., &amp; Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1–8.
https://doi.org/10.1016/j.jocs.2010.12.007</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.
https://doi.org/10.1016/0304-4076(86)90063-1</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">Corbet, S., Lucey, B., &amp; Yarovaya, L. (2018). Datestamping the Bitcoin and Ethereum bubbles. Finance Research Letters, 26, 81–88.
https://doi.org/10.1016/j.frl.2017.12.006</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">Da, Z., Engelberg, J., &amp; Gao, P. (2011). In search of attention. The Journal of Finance, 66(5), 1461–1499. https://doi.org/10.1111/j.1540-
6261.2011.01679.x</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">Esser, J. K., &amp; Lindoerfer, J. S. (1989). Groupthink and the space shuttle Challenger accident: Toward a quantitative case analysis. Journal of
Behavioral Decision Making, 2(3), 167–177. https://doi.org/10.1002/bdm.3960020304</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">Financial Conduct Authority. (2024). FG24/1: Finalised guidance on financial promotions on social media. https://www.fca.org.uk/</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">Financial Industry Regulatory Authority. (2024). 2024 FINRA annual regulatory oversight report. https://www.finra.org/</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">Gandal, N., Hamrick, J. T., Moore, T., &amp; Oberman, T. (2018). Price manipulation in the Bitcoin ecosystem. Journal of Monetary Economics,
95, 86–96. https://doi.org/10.1016/j.jmoneco.2017.12.004</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">Gong, Y., Tang, X., &amp; Chang, E.-C. (2023). Group norms and policy norms trigger different autonomous motivations for Chinese investors in
cryptocurrency investment. Humanities and Social Sciences Communications, 10, 521. https://doi.org/10.1057/s41599-023-01870-0</mixed-citation>
                    </ref>
                                    <ref id="ref16">
                        <label>16</label>
                        <mixed-citation publication-type="journal">Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438.
https://doi.org/10.2307/1912791</mixed-citation>
                    </ref>
                                    <ref id="ref17">
                        <label>17</label>
                        <mixed-citation publication-type="journal">Gurdgiev, C., &amp; O’Loughlin, D. (2020). Herding and anchoring in cryptocurrency markets: Investor reaction to fear and greed. Journal of
Behavioral and Experimental Finance, 25, 100358. https://doi.org/10.1016/j.jbef.2019.100358</mixed-citation>
                    </ref>
                                    <ref id="ref18">
                        <label>18</label>
                        <mixed-citation publication-type="journal">Harvey, J. B. (1974). The Abilene paradox: The management of agreement. Organizational Dynamics, 3(1), 63–80.
https://doi.org/10.1016/0090-2616(74)90005-9</mixed-citation>
                    </ref>
                                    <ref id="ref19">
                        <label>19</label>
                        <mixed-citation publication-type="journal">Harvey, J. B. (1988). The Abilene paradox and other meditations on management. Lexington Books.</mixed-citation>
                    </ref>
                                    <ref id="ref20">
                        <label>20</label>
                        <mixed-citation publication-type="journal">Heuer, R. J., Jr., &amp; Pherson, R. H. (2010). Structured analytic techniques for intelligence analysis. CQ Press.,</mixed-citation>
                    </ref>
                                    <ref id="ref21">
                        <label>21</label>
                        <mixed-citation publication-type="journal">Hirschheim, R., &amp; Newman, M. (1991). Symbolism and information systems development: Myth, metaphor and magic. Information Systems
Research, 2(1), 29–62. https://doi.org/10.1287/isre.2.1.29</mixed-citation>
                    </ref>
                                    <ref id="ref22">
                        <label>22</label>
                        <mixed-citation publication-type="journal">Hutto, C. J., &amp; Gilbert, E. (2014). VADER: A parsimonious rule-based model for sentiment analysis of social media text. In Proceedings of the
8th International AAAI Conference on Weblogs and Social Media (pp. 216–225). https://doi.org/10.1609/icwsm.v8i1.14550</mixed-citation>
                    </ref>
                                    <ref id="ref23">
                        <label>23</label>
                        <mixed-citation publication-type="journal">International Organization of Securities Commissions. (2023). Retail Market Conduct Task Force: Final report (FR05/23).
https://www.iosco.org/</mixed-citation>
                    </ref>
                                    <ref id="ref24">
                        <label>24</label>
                        <mixed-citation publication-type="journal">International Organization of Securities Commissions. (2024). Finfluencers (CR/08/2024). https://www.iosco.org/</mixed-citation>
                    </ref>
                                    <ref id="ref25">
                        <label>25</label>
                        <mixed-citation publication-type="journal">Janis, I. L. (1972). Victims of groupthink: A psychological study of foreign-policy decisions and fiascoes. Houghton Mifflin.</mixed-citation>
                    </ref>
                                    <ref id="ref26">
                        <label>26</label>
                        <mixed-citation publication-type="journal">Kahneman, D., &amp; Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.
https://doi.org/10.2307/1914185</mixed-citation>
                    </ref>
                                    <ref id="ref27">
                        <label>27</label>
                        <mixed-citation publication-type="journal">Kim, J., Lee, D., &amp; Park, S. (2025). Opinion leaders, viral memes, and collective mispricing in cryptocurrency markets. Finance Research
Letters, 65, 105293. https://doi.org/10.1016/j.frl.2024.105293</mixed-citation>
                    </ref>
                                    <ref id="ref28">
                        <label>28</label>
                        <mixed-citation publication-type="journal">Kraaijeveld, O., &amp; De Smedt, J. (2020). The predictive power of public Twitter sentiment for forecasting cryptocurrency prices. Journal of
International Financial Markets, Institutions and Money, 65, 101188. https://doi.org/10.1016/j.intfin.2020.101188</mixed-citation>
                    </ref>
                                    <ref id="ref29">
                        <label>29</label>
                        <mixed-citation publication-type="journal">Kuran, T. (1995). Private truths, public lies: The social consequences of preference falsification. Harvard University Press.</mixed-citation>
                    </ref>
                                    <ref id="ref30">
                        <label>30</label>
                        <mixed-citation publication-type="journal">Li, Y., Liu, Z., &amp; Shi, Y. (2024). False consensus and online financial decision-making: Evidence from crypto communities. Computers in Human
Behavior, 152, 107325. https://doi.org/10.1016/j.chb.2023.107325</mixed-citation>
                    </ref>
                                    <ref id="ref31">
                        <label>31</label>
                        <mixed-citation publication-type="journal">Long, H.-W., Wong, N.-M., &amp; Cai, W. (2025). Bridging culture and finance: A multimodal analysis of memecoins in the Web3 ecosystem. In
Companion Proceedings of the ACM Web Conference 2025 (pp. 1158–1161). https://doi.org/10.1145/3701716.3715561</mixed-citation>
                    </ref>
                                    <ref id="ref32">
                        <label>32</label>
                        <mixed-citation publication-type="journal">Long, S. C., Xie, Y., Zhou, Z., Lucey, B. M., &amp; Urquhart, A. (2025). From whales to waves: Social media sentiment, volatility, and whales in
cryptocurrency markets. The British Accounting Review, 57(1), 101266. https://doi.org/10.1016/j.bar.2024.101266</mixed-citation>
                    </ref>
                                    <ref id="ref33">
                        <label>33</label>
                        <mixed-citation publication-type="journal">Merton, R. C. (1973). An intertemporal capital asset pricing model. Econometrica, 41(5), 867–887. https://doi.org/10.2307/1913811</mixed-citation>
                    </ref>
                                    <ref id="ref34">
                        <label>34</label>
                        <mixed-citation publication-type="journal">Pariser, E. (2011). The filter bubble: What the Internet is hiding from you. Penguin Press.</mixed-citation>
                    </ref>
                                    <ref id="ref35">
                        <label>35</label>
                        <mixed-citation publication-type="journal">Pascovich, E. (2018). The devil’s advocate in intelligence: The Israeli experience. Intelligence and National Security, 33(6), 854–865.
https://doi.org/10.1080/02684527.2018.1470062</mixed-citation>
                    </ref>
                                    <ref id="ref36">
                        <label>36</label>
                        <mixed-citation publication-type="journal">Poyser, O. (2018). Herding behavior in cryptocurrency markets. SSRN Working Paper. https://doi.org/10.2139/ssrn.3092427</mixed-citation>
                    </ref>
                                    <ref id="ref37">
                        <label>37</label>
                        <mixed-citation publication-type="journal">Prechter, R. R., Jr., &amp; Parker, W. D. (2007). The financial/economic dichotomy in social behavioral dynamics: The socionomic perspective.
Journal of Behavioral Finance, 8(2), 84–108. https://doi.org/10.1080/15427560701381028</mixed-citation>
                    </ref>
                                    <ref id="ref38">
                        <label>38</label>
                        <mixed-citation publication-type="journal">Ranaldo, A., Söderlind, P., &amp; Wagner, A. (2025). Crypto investor attention and market fragility. Journal of Financial Economics, 158(1), 103–
121. https://doi.org/10.1016/j.jfineco.2024.12.004</mixed-citation>
                    </ref>
                                    <ref id="ref39">
                        <label>39</label>
                        <mixed-citation publication-type="journal">Sergi, B. S., Popkova, E., &amp; Bogoviz, A. (2024). Herd behavior, social media sentiment, and cryptocurrency price dynamics. Technological
Forecasting &amp; Social Change, 198, 122123. https://doi.org/10.1016/j.techfore.2023.122123</mixed-citation>
                    </ref>
                                    <ref id="ref40">
                        <label>40</label>
                        <mixed-citation publication-type="journal">Shiller, R. J. (2015). Irrational exuberance (3rd ed.). Princeton University Press. https://doi.org/10.2307/j.ctt1287kz5</mixed-citation>
                    </ref>
                                    <ref id="ref41">
                        <label>41</label>
                        <mixed-citation publication-type="journal">Shleifer, A. (2000). Inefficient markets: An introduction to behavioral finance. Oxford University Press.</mixed-citation>
                    </ref>
                                    <ref id="ref42">
                        <label>42</label>
                        <mixed-citation publication-type="journal">Sunstein, C. R. (2002). The law of group polarization. Journal of Political Philosophy, 10(2), 175–195. https://doi.org/10.1111/1467-
9760.00148</mixed-citation>
                    </ref>
                                    <ref id="ref43">
                        <label>43</label>
                        <mixed-citation publication-type="journal">Sundarasen, S., &amp; Saleem, F. (2025). From tweets to trades: A bibliometric and systematic review of social media’s influence on
cryptocurrency. International Journal of Financial Studies, 13(2), 87. https://doi.org/10.3390/ijfs13020087</mixed-citation>
                    </ref>
                                    <ref id="ref44">
                        <label>44</label>
                        <mixed-citation publication-type="journal">Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3), 1139–1168.
https://doi.org/10.1111/j.1540-6261.2007.01232.x</mixed-citation>
                    </ref>
                                    <ref id="ref45">
                        <label>45</label>
                        <mixed-citation publication-type="journal">Tversky, A., &amp; Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty,
5(4), 297–323. https://doi.org/10.1007/BF00122574</mixed-citation>
                    </ref>
                                    <ref id="ref46">
                        <label>46</label>
                        <mixed-citation publication-type="journal">Urgenc, O. A., &amp; Tas, O. (2024). Social media sentiment and its effects on cryptocurrency price volatility. PressAcademia Procedia, 20(1), 1–
4. https://doi.org/10.17261/Pressacademia.2024.1915</mixed-citation>
                    </ref>
                                    <ref id="ref47">
                        <label>47</label>
                        <mixed-citation publication-type="journal">Watts, D. J., &amp; Dodds, P. S. (2007). Influentials, networks, and public opinion formation. Journal of Consumer Research, 34(4), 441–458.
https://doi.org/10.1086/518527</mixed-citation>
                    </ref>
                                    <ref id="ref48">
                        <label>48</label>
                        <mixed-citation publication-type="journal">Wang, G.-J., Xie, C., &amp; Zhao, L. (2024). Social media emotions and cryptocurrency volatility: New evidence from high-frequency data. Journal
of Economic Behavior &amp; Organization, 219, 350–366. https://doi.org/10.1016/j.jebo.2024.04.018</mixed-citation>
                    </ref>
                                    <ref id="ref49">
                        <label>49</label>
                        <mixed-citation publication-type="journal">Yousaf, I., Yarovaya, L., &amp; Mirza, N. (2023). Energy cryptocurrencies: Assessing connectedness with other asset classes. Finance Research
Letters, 51, 103373. https://doi.org/10.1016/j.frl.2023.103373</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
