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Data selection and collection for constructing investor sentiment from social media. (2024). Liu, Qing ; Son, Hosung.
In: Palgrave Communications.
RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03316-7.

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  1. Abdesslem, FB, Parris, I, & Henderson, T (2012). Reliable online social network data collection. In: Abraham, A (ed) Computational social networks: mining and Visualization. Springer, p 183–210.
    Paper not yet in RePEc: Add citation now

  2. Ackert LF, Jiang L, Lee HS, Liu J (2016) Influential investors in online stock forums. Int Rev Financ Anal 45:39–46.

  3. Antweiler W, Frank MZ (2004) Is all that talk just noise? The information content of internet stock message boards. J Finance 59(3):1259–1294.

  4. Audrino F, Sigrist F, Ballinari D (2020) The impact of sentiment and attention measures on stock market volatility. Int J Forecast 36(2):334–357.

  5. Bishop, L, & Gray, D (2017) Ethical challenges of publishing and sharing social media research data. In: K Woodfield K (ed) The ethics of online research, vol 2. Emerald Publishing Limited, p 159–187.
    Paper not yet in RePEc: Add citation now
  6. Bollen J, Mao H, Zeng X (2011) Twitter mood predicts the stock market. J Comput Sci 2(1):1–8.
    Paper not yet in RePEc: Add citation now

  7. Borgman CL (2012) The conundrum of sharing research data. J Am Soc Inform Sci Technol 63(6):1059–1078.

  8. Borra, E, & Rieder, B (2014) Programmed method: developing a toolset for capturing and analyzing tweets. Aslib J Inf Manag. https://doi.org/10.1108/ajim-09-2013-0094 .
    Paper not yet in RePEc: Add citation now
  9. Boyd D, Crawford K (2012) Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon. Inf Commun Soc 15(5):662–679.
    Paper not yet in RePEc: Add citation now
  10. Bruns A, Stieglitz S (2014) Twitter data: what do they represent? Inf Technol 56(5):240–245.
    Paper not yet in RePEc: Add citation now
  11. Cardie, C, Wiebe, J, Wilson, T, & Litman, DJ (2003) Combining low-level and summary representations of opinions for multi-perspective question answering. In: New directions in question answering, 20–27.
    Paper not yet in RePEc: Add citation now
  12. Castleberry A, Nolen A (2018) Thematic analysis of qualitative research data: is it as easy as it sounds? Curr Pharm Teach Learn 10(6):807–815.
    Paper not yet in RePEc: Add citation now

  13. Chen C, Liu L, Zhao N (2020) Fear sentiment, uncertainty, and bitcoin price dynamics: the case of COVID-19. Emerg Mark Finance Trade 56(10):2298–2309.

  14. Chen H, De P, Hu Y (Jeffrey), Hwang, B-H (2014) Wisdom of crowds: the value of stock opinions transmitted through social media. Rev Financ Stud 27(5):1367–1403.

  15. Chen S, Zhang H, Lin M, Lv S (2011) Comparision of microblogging service between Sina Weibo and Twitter. Proc 2011 International Conference on Computer Science and Network Technology 4:2259–2263.
    Paper not yet in RePEc: Add citation now
  16. Cheng W, Lin J (2013) Investor sentiment and stock market indices in social media. Manag Sci 26(5):111–119.
    Paper not yet in RePEc: Add citation now
  17. Chua, C, Milosavljevic, M, & Curran, JR (2009) A sentiment detection engine for internet stock message boards. Proceedings of the Australasian Language Technology Association Workshop 2009, 89–93.
    Paper not yet in RePEc: Add citation now

  18. Cookson JA, Niessner M (2020) Why don’t we agree? Evidence from a social network of investors. J Finance 75(1):173–228.

  19. Corea F (2016) Can Twitter proxy the investors’ sentiment? The case for the technology sector. Big Data Res 4:70–74.
    Paper not yet in RePEc: Add citation now

  20. Da Z, Engelberg J, Gao P (2015) The sum of all FEARS investor sentiment and asset prices. Rev Financ Stud 28(1):1–32.

  21. Das S, Chen M (2001) Yahoo! for Amazon: extracting market sentiment from stock message boards. Proceedings of the Asia Pacific Finance Association Annual Conference (APFA) 35:43.
    Paper not yet in RePEc: Add citation now

  22. Das S, Martínez-Jerez A, Tufano P (2005) eInformation: a clinical study of investor discussion and sentiment. Financ Manag 34(3):103–137.

  23. Das SR, Chen MY (2007) Yahoo! for Amazon: sentiment extraction from small talk on the web. Manag Sci 53(9):1375–1388.

  24. Dave, K, Lawrence, S, Pennock, DM (2003) Mining the peanut gallery: opinion extraction and semantic classification of product reviews. Proceedings of the 12th International Conference on World Wide Web, 519–528.
    Paper not yet in RePEc: Add citation now
  25. Deng S, Huang ZJ, Sinha AP, Zhao H (2018) The interaction between microblog sentiment and stock return: An empirical examination. MIS Quarterly 42(3):895–918.
    Paper not yet in RePEc: Add citation now
  26. Dini, L, Mazzini, G (2002) Opinion classification through information extraction. WIT Transactions on Information and Communication Technologies, 28. https://doi.org/10.2495/DATA020301 .
    Paper not yet in RePEc: Add citation now

  27. Eierle B, Klamer S, Muck M (2022) Does it really pay off for investors to consider information from social media? Int Rev Financ Anal 81:102074.

  28. Ess C, Jones S (2004) Ethical decision-making and Internet research: recommendations from the aoir ethics working committee. In: Readings in virtual research ethics: issues and controversies. IGI Global, p 27–44.
    Paper not yet in RePEc: Add citation now

  29. Fan R, Talavera O, Tran V (2020) Social media bots and stock markets. Eur Financ Manag 26(3):753–777.

  30. Gallu J (2013) SEC approves using facebook, twitter for company disclosures. Bloomberg Report, 3.
    Paper not yet in RePEc: Add citation now

  31. Gan B, Alexeev V, Bird R, Yeung D (2020) Sensitivity to sentiment: news vs social media. Int Rev Financ Anal 67:101390.

  32. Garcia D (2013) Sentiment during recessions. J Finance 68(3):1267–1300.

  33. Geva T, Zahavi J (2014) Empirical evaluation of an automated intraday stock recommendation system incorporating both market data and textual news. Decis Support Syst 57:212–223.
    Paper not yet in RePEc: Add citation now
  34. Giannini R, Irvine P, Shu T (2018) Nonlocal disadvantage: an examination of social media sentiment. Rev Asset Pricing Stud 8(2):293–336.
    Paper not yet in RePEc: Add citation now

  35. Giannini R, Irvine P, Shu T (2019) The convergence and divergence of investors’ opinions around earnings news: evidence from a social network. J Financ Markets 42:94–120.

  36. Gilbert, E, Karahalios, K (2010) Widespread worry and the stock market. Fourth International AAAI Conference on Weblogs and Social Media. https://doi.org/10.1609/icwsm.v4i1.14023 .
    Paper not yet in RePEc: Add citation now
  37. Gloor PA, Krauss J, Nann S, Fischbach K, Schoder D (2009) Web science 2.0: identifying trends through semantic social network analysis. 2009 International Conference on Computational Science and Engineering 4:215–222.
    Paper not yet in RePEc: Add citation now
  38. Gouws S, Metzler D, Cai C, Hovy E (2011) Contextual bearing on linguistic variation in social media. Proceedings of the Workshop on Language in Social Media (LSM 2011), 20–29. https://aclanthology.org/W11-0704 .
    Paper not yet in RePEc: Add citation now
  39. Gu B, Konana P, Liu A, Rajagopalan B, Ghosh, J (2006) Identifying information in stock message boards and its implications for stock market efficiency. Workshop on Information Systems and Economics, Los Angeles, CA. https://www.ideal.ece.utexas.edu/pdfs/151.pdf .
    Paper not yet in RePEc: Add citation now

  40. Gu B, Konana P, Rajagopalan B, Chen H-WM (2007) Competition among virtual communities and user valuation: the case of investing-related communities. Inf Syst Res 18(1):68–85.

  41. Guégan D, Renault T (2021) Does investor sentiment on social media provide robust information for Bitcoin returns predictability? Finance Res Lett 38:101494.

  42. Heston SL, Korajczyk RA, Sadka R (2010) Intraday patterns in the cross-section of stock returns. J Finance 65(4):1369–1407.

  43. Huang Y, Qiu H, Wu Z (2016) Local bias in investor attention: evidence from China’s Internet stock message boards. J Empir Finance 38:338–354.

  44. Huynh TLD, Foglia M, Nasir MA, Angelini E (2021) Feverish sentiment and global equity markets during the COVID-19 pandemic. J Econ Behav Org 188:1088–1108.

  45. Java, A, Song, X, Finin, T, & Tseng, B (2007) Why we twitter: understanding microblogging usage and communities. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, 56–65. https://doi.org/10.1145/1348549.1348556 .
    Paper not yet in RePEc: Add citation now
  46. Kaminski J (2016) Nowcasting the Bitcoin market with Twitter signals. Preprint at https://doi.org/10.48550/arXiv.1406.7577 .
    Paper not yet in RePEc: Add citation now
  47. Karabulut Y (2013) Can facebook predict stock market activity? AFA 2013 San Diego Meetings Paper. https://doi.org/10.2139/ssrn.2017099 .
    Paper not yet in RePEc: Add citation now

  48. Kim YB, Kim JG, Kim W, Im JH, Kim TH, Kang SJ, Kim CH (2016) Predicting fluctuations in cryptocurrency transactions based on user comments and replies. PLoS ONE 11(8):e0161197.

  49. Kraaijeveld O, De Smedt J (2020) The predictive power of public Twitter sentiment for forecasting cryptocurrency prices. J Int Financ Mark Inst Money 65:101188.

  50. Kranefuss E, Johnson DKN (2021) Does Twitter strengthen volatility forecasts? Evidence from the S&P 500, DJIA and Twitter sentiment analysis (SSRN Scholarly Paper 3786251). https://doi.org/10.2139/ssrn.3786251 .
    Paper not yet in RePEc: Add citation now
  51. Kušen E, Cascavilla G, Figl K, Conti M, Strembeck M (2017) Identifying emotions in social media: comparison of word-emotion lexicons. 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 132–137. https://doi.org/10.1109/ficloudw.2017.75 .
    Paper not yet in RePEc: Add citation now

  52. Li F (2010) The information content of forward-looking statements in corporate filings—A naïve Bayesian machine learning approach. J Account Res 48(5):1049–1102.

  53. Li J, Bu H, Wu J (2017) Sentiment-aware stock market prediction: a deep learning method. 2017 International Conference on Service Systems and Service Management, 1–6. https://doi.org/10.1109/ICSSSM.2017.7996306 .
    Paper not yet in RePEc: Add citation now
  54. Li Q, Chen Y, Wang J, Chen Y, Chen H (2018) Web media and stock markets: a survey and future directions from a big data perspective. IEEE Transactions on Knowledge and Data Engineering 30(2):381–399.
    Paper not yet in RePEc: Add citation now
  55. Li T, van Dalen J, van Rees PJ (2018) More than just noise? Examining the information content of stock microblogs on financial markets. J Inf Technol 33(1):50–69.
    Paper not yet in RePEc: Add citation now

  56. Li Y, Bu H, Li J, Wu J (2020) The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning. Int J Forecast 36(4):1541–1562.

  57. Liu H, Lieberman H, Selker, T (2003). A model of textual affect sensing using real-world knowledge. Proceedings of the 8th International Conference on Intelligent User Interfaces, 125–132. https://doi.org/10.1145/604045.604067 .
    Paper not yet in RePEc: Add citation now
  58. Liu L, Wu J, Li P, Li Q (2015) A social-media-based approach to predicting stock comovement. Expert Syst Appl 42(8):3893–3901.
    Paper not yet in RePEc: Add citation now
  59. Liu Q, Huang M, Zhao L, Lee W-S (2023) The dispositional effects of holidays on investor sentiment: therapeutic and hygienic. J Innov Knowl 8(2):100358.
    Paper not yet in RePEc: Add citation now
  60. Liu Q, Lee W-S, Huang M, Wu Q (2022) Synergy between stock prices and investor sentiment in social media. Borsa Istanbul Rev. https://doi.org/10.1016/j.bir.2022.09.006 .
    Paper not yet in RePEc: Add citation now
  61. Liu Q, Son H, Lee W-S (2024) The game of lies by stock investors in social media: a study based on city lockdowns in China. Financ Innovation 10(1):65.
    Paper not yet in RePEc: Add citation now

  62. Long W, Zhao M, Tang Y (2021) Can the Chinese volatility index reflect investor sentiment? Int Rev Financ Anal 73:101612.

  63. Lorentzen DG, Nolin J (2017) Approaching completeness: capturing a hashtagged Twitter conversation and its follow-on conversation. Soc Sci Comput Rev 35(2):277–286.
    Paper not yet in RePEc: Add citation now

  64. Loughran T, Mcdonald B (2016) Textual analysis in accounting and finance: a survey. J Account Res 54(4):1187–1230.

  65. Mai F, Bai Q, Shan J, Wang XS, Chiang RH (2015) The impacts of social media on Bitcoin performance.
    Paper not yet in RePEc: Add citation now
  66. Mai F, Shan Z, Bai Q, Wang X. (Shane), Chiang RHL (2018) How does social media impact Bitcoin value? A test of the silent majority hypothesis. J Manag Inf Syst 35(1):19–52.
    Paper not yet in RePEc: Add citation now

  67. Mao H, Counts S, Bollen J (2011) Predicting financial markets: comparing survey, news, Twitter and Search Engine data. Preprint at https://doi.org/10.48550/arXiv.1112.1051 .

  68. Mayr P, Weller K (2017). Think before you collect: setting up a data collection approach for social media studies. In: Solan L, Quan-Haase A (ed) The SAGE handbook of social media research methods. SAGE, p 679.
    Paper not yet in RePEc: Add citation now
  69. Metzler K, Kim DA, Allum N, Denman A (2016) Who is doing computational social science? Trends in big data research. https://repository.essex.ac.uk/17679/1/compsocsci.pdf .
    Paper not yet in RePEc: Add citation now
  70. Morinaga S, Yamanishi K, Tateishi K, Fukushima T (2002) Mining product reputations on the web. Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 341–349. https://doi.org/10.1145/775047.775098 .
    Paper not yet in RePEc: Add citation now
  71. Naeem MA, Mbarki I, Shahzad SJH (2021) Predictive role of online investor sentiment for cryptocurrency market: evidence from happiness and fears. Int Rev Econ Finance 73:496–514.
    Paper not yet in RePEc: Add citation now
  72. Nasukawa T, Yi,J (2003) Sentiment analysis: capturing favorability using natural language processing. Proceedings of the 2nd International Conference on Knowledge Capture, 70–77. https://doi.org/10.1145/945645.945658 .
    Paper not yet in RePEc: Add citation now
  73. Nguyen TH, Shirai K (2015) Topic modeling based sentiment analysis on social media for stock market prediction. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 1354–1364. https://doi.org/10.3115/v1/p15-1131 .
    Paper not yet in RePEc: Add citation now
  74. Nguyen TH, Shirai K, Velcin J (2015) Sentiment analysis on social media for stock movement prediction. Expert Syst Appl 42(24):9603–9611.
    Paper not yet in RePEc: Add citation now
  75. Nisar TM, Yeung M (2018) Twitter as a tool for forecasting stock market movements: a short-window event study. J FinanceData Sci 4(2):101–119.
    Paper not yet in RePEc: Add citation now

  76. Nofer M, Hinz O (2015) Using Twitter to predict the stock market. Business Inf Syst Eng 57(4):229–242.

  77. Oliveira N, Cortez P, Areal N (2013) On the predictability of stock market behavior using stocktwits sentiment and posting volume. Portuguese Conf Artificial Intell. https://doi.org/10.1007/978-3-642-40669-0_31 .
    Paper not yet in RePEc: Add citation now
  78. Oliveira N, Cortez P, Areal N (2016) Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decis Support Syst 85:62–73.
    Paper not yet in RePEc: Add citation now
  79. Oliveira N, Cortez P, Areal N (2017) The impact of microblogging data for stock market prediction: using Twitter to predict returns, volatility, trading volume and survey sentiment indices. Expert Syst Appl 73:125–144.
    Paper not yet in RePEc: Add citation now
  80. Oyebode O, Orji R (2019). Social media and sentiment analysis: the Nigeria presidential election 2019. 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 0140–0146.
    Paper not yet in RePEc: Add citation now
  81. Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2(1–2):1–135.
    Paper not yet in RePEc: Add citation now
  82. Phillips CV, LaPole LM (2003) Quantifying errors without random sampling. BMC Med Res Methodol 3(1):1–10.
    Paper not yet in RePEc: Add citation now
  83. Piñeiro-Chousa J, López-Cabarcos MÁ, Caby J, Šević A (2021) The influence of investor sentiment on the green bond market. Technol Forecast Soc Change 162:120351.
    Paper not yet in RePEc: Add citation now
  84. Piñeiro-Chousa JR, López-Cabarcos MÁ, Pérez-Pico AM (2016) Examining the influence of stock market variables on microblogging sentiment. J Business Res 69(6):2087–2092.
    Paper not yet in RePEc: Add citation now
  85. Quan-Haase A, Young AL (2010) Uses and gratifications of social media: a comparison of Facebook and instant messaging. Bull Sci Technol Soci 30(5):350–361.
    Paper not yet in RePEc: Add citation now
  86. Rao T, Srivastav, S (2012b) Using twitter sentiments and search volumes index to predict oil, gold, forex and markets indices. WebSci ‘13: Proceedings of the 5th Annual ACM Web Science Conference, May 2013, 336–345. https://doi.org/10.1145/2464464.2464521 .
    Paper not yet in RePEc: Add citation now
  87. Rao T, Srivastava S (2012a) Analyzing stock market movements using Twitter sentiment analysis. ASONAM ‘12: Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining, August 2012, 119–123. https://doi.org/10.1109/ASONAM.2012.30 .
    Paper not yet in RePEc: Add citation now

  88. Renault T (2017) Intraday online investor sentiment and return patterns in the U.S. stock market. J Bank Finance 84:25–40.

  89. Renault T (2020) Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages. Digital Finance 2(1):1–13.

  90. Rizkiana A (2021) Can investor sentiment in social media be used to make investment decision in stock market? Acad Account Financ Stud J 25(1):1–6.
    Paper not yet in RePEc: Add citation now
  91. Robertson IG (1999) Spatial and multivariate analysis, random sampling error, and analytical noise: empirical Bayesian methods at Teotihuacan, Mexico. Am Antiq. 64(1):137–152.
    Paper not yet in RePEc: Add citation now

  92. Sabherwal S, Sarkar SK, Zhang Y (2011) Do internet stock message boards influence trading? Evidence from heavily discussed stocks with no fundamental news. J Bus Finance Account 38(9–10):1209–1237.

  93. Schoen H, Gayo-Avello D, Takis Metaxas P, Mustafaraj E, Strohmaier M, Gloor P (2013) The power of prediction with social media. Internet Res 23(5):528–543.
    Paper not yet in RePEc: Add citation now
  94. Schroeder R (2014) Big Data and the brave new world of social media research. Big Data Soc 1(2):2053951714563194.
    Paper not yet in RePEc: Add citation now

  95. See-To EWK, Yang Y (2017) Market sentiment dispersion and its effects on stock return and volatility. Electronic Markets 27(3):283–296.

  96. Shaikh I (2019) The US Presidential Election 2012/2016 and Investors’ Sentiment: the Case of CBOE Market Volatility Index. SAGE Open 9(3):2158244019864175.

  97. Siganos A, Vagenas-Nanos E, Verwijmeren P (2017) Divergence of sentiment and stock market trading. J Bank Finance 78:130–141.

  98. StockTwits. (2014, June 15). A communications platform for the investing community. StockTwits, http://stocktwits.com/about .
    Paper not yet in RePEc: Add citation now

  99. Sun A, Lachanski M, Fabozzi FJ (2016) Trade the tweet: Social media text mining and sparse matrix factorization for stock market prediction. Int Rev Financ Anal 48:272–281.

  100. Sun Y, Fang M, Wang X (2018) A novel stock recommendation system using Guba sentiment analysis. Pers Ubiquitous Comput 22(3):575–587.
    Paper not yet in RePEc: Add citation now
  101. Sun Y, Liu X, Chen G, Hao Y, Zhang ZJ (2020) How mood affects the stock market: empirical evidence from microblogs. Inf Manag 57(5):103181.
    Paper not yet in RePEc: Add citation now
  102. Tateishi K (2001). Opinion information retrieval from the Internet. IEICE technical report, 75–82.
    Paper not yet in RePEc: Add citation now
  103. Toivonen T, Heikinheimo V, Fink C, Hausmann A, Hiippala T, Järv O, Tenkanen H, Di Minin E (2019) Social media data for conservation science: a methodological overview. Biol Conserv 233:298–315.
    Paper not yet in RePEc: Add citation now
  104. Tsukioka Y, Yanagi J, Takada T (2018) Investor sentiment extracted from internet stock message boards and IPO puzzles. Int Rev Econ Finance 56:205–217.
    Paper not yet in RePEc: Add citation now
  105. Tumarkin R, From A, Whitelaw R (2002) Internet message board activity and market efficiency: a case study of the internet service sector using RagingBull. com. Financ Mark Inst Instrum. https://doi.org/10.1111/1468-0416.11403 .
    Paper not yet in RePEc: Add citation now
  106. Tumarkin R, Whitelaw RF (2001) News or noise? Internet postings and stock prices. Financ Anal J 57(3):41–51.
    Paper not yet in RePEc: Add citation now
  107. Vaterlaus JM, Barnett K, Roche C, Young JA (2016) Snapchat is more personal”: an exploratory study on Snapchat behaviors and young adult interpersonal relationships. Comput Human Behav 62:594–601. https://doi.org/10.1016/j.chb.2016.04.029 .
    Paper not yet in RePEc: Add citation now
  108. Vu TT, Chang S, Ha QT, Collier, N (2012) An experiment in integrating sentiment features for tech stock prediction in twitter. Proceedings of the Workshop on Information Extraction and Entity Analytics on Social Media Data, 23–38. https://aclanthology.org/W12-5503 .
    Paper not yet in RePEc: Add citation now
  109. Wang H, Li C, Zhang L, Shi M (2018) Anti-Crawler strategy and distributed crawler based on Hadoop. 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 227–231. https://doi.org/10.1109/ICBDA.2018.8367682 .
    Paper not yet in RePEc: Add citation now
  110. Wang Z, Liu H, Liu W, Wang S (2020) Understanding the power of opinion leaders’ influence on the diffusion process of popular mobile games: travel frog on Sina Weibo. Comput Human Behav 109:106354.
    Paper not yet in RePEc: Add citation now
  111. Wei W, Mao Y, Wang B (2016) Twitter volume spikes and stock options pricing. Comput Commun 73:271–281.
    Paper not yet in RePEc: Add citation now
  112. Weller K (2015) Accepting the challenges of social media research. Online Inf Rev 39(3):281–289.
    Paper not yet in RePEc: Add citation now
  113. Wilson RE, Gosling SD, Graham LT (2012) A review of Facebook research in the social sciences. Perspect Psychol Sci 7(3):203–220.
    Paper not yet in RePEc: Add citation now
  114. Wu DD, Zheng L, Olson DL (2014) A decision support approach for online stock forum sentiment analysis. IEEE Transactions on Systems, Man, and Cybernetics: Systems 44(8):1077–1087.
    Paper not yet in RePEc: Add citation now
  115. Xiong X, Chunchun LUO, Ye Z (2017) Stock BBS and trades: the information content of stock BBS. J Syst Sci Math Sci 37(12):2359.
    Paper not yet in RePEc: Add citation now
  116. Zhang W, Skiena S (2010) Trading strategies to exploit blog and news sentiment. Fourth International aAAI Conference on Weblogs and Social Media. https://doi.org/10.1609/icwsm.v4i1.14075 .
    Paper not yet in RePEc: Add citation now
  117. Zhang X, Fuehres H, Gloor PA (2011) Predicting stock market indicators through twitter “I hope it is not as bad as I fear. Procedia Soc Behav Sci 26:55–62.
    Paper not yet in RePEc: Add citation now

  118. Zhang Y, Swanson PE, Prombutr W (2012) Measuring effects on stock returns of sentiment indexes created from stock message boards. J Financ Res 35(1):79–114.

  119. Zheludev I, Smith R, Aste T (2014) When can social media lead financial markets? Sci Rep 4(1):1–12.
    Paper not yet in RePEc: Add citation now
  120. Zhou H, Pan Q (2016) Information, community, and action on Sina-Weibo: how Chinese philanthropic NGOs use social media. VOLUNTAS 27(5):2433–2457.
    Paper not yet in RePEc: Add citation now
  121. Zhou Z (2014) Data crawler for Sina Weibo based on Python. J Comput Appl 34(11):3131.
    Paper not yet in RePEc: Add citation now
  122. Zimmer, M (2020). “But the data is already public”: On the ethics of research in Facebook. In The ethics of information technologies. Routledge, pp 229–241.
    Paper not yet in RePEc: Add citation now

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  4. Does Investors’ Online Public Opinion Divergence Increase the Trading Volume? Evidence from the CSI 300 Index Constituents. (2024). Huang, Zihuang ; Wang, Xinyu ; Xu, Qing.
    In: JRFM.
    RePEc:gam:jjrfmx:v:17:y:2024:i:8:p:316-:d:1441449.

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  5. Information shock, market reaction, and stock message board information diffusion. (2024). Meng, Yongqiang ; Huang, Xiuqi.
    In: The Quarterly Review of Economics and Finance.
    RePEc:eee:quaeco:v:95:y:2024:i:c:p:180-192.

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  6. The governance effects of social media engagement on M&A outcomes: Evidence from China. (2024). Liu, YU ; Chen, Yugang ; Zhang, Pengdong.
    In: Journal of International Financial Markets, Institutions and Money.
    RePEc:eee:intfin:v:91:y:2024:i:c:s104244312400012x.

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  7. Did David win a battle or the war against Goliath? Dynamic return and volatility connectedness between the GameStop stock and the high short interest indices. (2023). Umar, Zaghum ; Kizys, Renatas ; Aharon, David ; Zaremba, Adam.
    In: Post-Print.
    RePEc:hal:journl:hal-04583804.

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  8. Did David win a battle or the war against Goliath? Dynamic return and volatility connectedness between the GameStop stock and the high short interest indices. (2023). Umar, Zaghum ; Kizys, Renatas ; Aharon, David Y ; Zaremba, Adam.
    In: Research in International Business and Finance.
    RePEc:eee:riibaf:v:64:y:2023:i:c:s0275531922001891.

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  9. Messages in online stock forums and stock price synchronicity: Evidence from China. (2023). Cao, Yuqiang ; Zhang, Yizhou ; Shan, Yaowen ; Lu, Meiting ; Huang, Can.
    In: Accounting and Finance.
    RePEc:bla:acctfi:v:63:y:2023:i:3:p:3011-3041.

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  10. We Reddit in a Forum: The Influence of Message Boards on Firm Stability. (2022). Oxley, Les ; HU, YANG ; Corbet, Shaen ; Hou, Yang.
    In: Review of Corporate Finance.
    RePEc:now:jnlrcf:114.00000014.

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  11. Impact of COVID-19 on private driving behavior: Evidence from electric vehicle charging data. (2022). Zhou, Kaile ; Li, Fangyi ; Hu, Dingding.
    In: Transport Policy.
    RePEc:eee:trapol:v:125:y:2022:i:c:p:164-178.

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  12. Measuring news media sentiment using big data for Chinese stock markets. (2022). Shuai, Yulin ; Shen, Shulin ; Xia, LE ; Gao, DA.
    In: Pacific-Basin Finance Journal.
    RePEc:eee:pacfin:v:74:y:2022:i:c:s0927538x22001056.

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  13. The causal relationship between social media sentiment and stock return: Experimental evidence from an online message forum. (2022). Xiang, Zhiqiang ; Wang, Xinjie ; Xu, Weike ; Yuan, Peixuan.
    In: Economics Letters.
    RePEc:eee:ecolet:v:216:y:2022:i:c:s0165176522001793.

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  14. Online feedback and crowdfunding finance in China. (2021). Ntim, Collins ; Riaz, Yasir ; Feng, Ran ; Zhang, Qingjing ; Ye, Zhiwei ; Shahab, Yasir.
    In: International Journal of Finance & Economics.
    RePEc:wly:ijfiec:v:26:y:2021:i:3:p:4634-4652.

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  15. Determinants of Investment Decision Making among Malaysians during COVID-19 Pandemic. (2021). Teng, Melissa Teoh ; Qing, Lee Xue ; Heang, Lee Teck.
    In: International Journal of Research and Innovation in Social Science.
    RePEc:bcp:journl:v:5:y:2021:i:7:p:52-62.

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  16. Determinants of Investment Decision Making among Malaysians during COVID-19 Pandemic. (2021). Teng, Melissa Teoh ; Qing, Lee Xue ; Heang, Lee Teck.
    In: International Journal of Research and Innovation in Social Science.
    RePEc:bcp:journl:v:5:y:2021:i:07:p:52-62.

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  17. Forecasting stock market movements using Google Trend searches. (2020). Rojas, Randall R ; Convery, Patrick D ; Huang, Melody Y.
    In: Empirical Economics.
    RePEc:spr:empeco:v:59:y:2020:i:6:d:10.1007_s00181-019-01725-1.

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  18. The impact of Baidu Index sentiment on the volatility of Chinas stock markets. (2020). Lau, Chi Keung ; Gözgör, Giray ; Lu, Zhou ; Fang, Jianchun.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:32:y:2020:i:c:s1544612318305609.

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  19. Stock mispricing, hard-to-value stocks and the influence of internet stock message boards. (2020). Shen, Dehua ; Meng, Yongqiang ; Xiong, Xiong ; Joseph, Nathan Lael.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:72:y:2020:i:c:s1057521920302209.

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  20. A generative model for the collective attention of the Chinese stock market investors. (2018). Yang, Zhen-Hua ; Li, Sheng-Nan ; Liu, Jian-Guo ; Yu, Chang-Rui.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:512:y:2018:i:c:p:1175-1182.

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  21. Do Chinese internet stock message boards convey firm-specific information?. (2018). Shen, Dehua ; Li, Xiao ; Zhang, Wei.
    In: Pacific-Basin Finance Journal.
    RePEc:eee:pacfin:v:49:y:2018:i:c:p:1-14.

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  22. Are Internet message boards used to facilitate stock price manipulation? Evidence from an emerging market, Thailand. (2018). Tanthanongsakkun, Suparatana ; Treepongkaruna, Sirimon ; Laksomya, Nattapong ; Powell, John G.
    In: Accounting and Finance.
    RePEc:bla:acctfi:v:58:y:2018:i:s1:p:275-309.

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  23. Internet big data and capital markets: a literature review. (2017). Ye, Minjian ; Li, Guangzhong.
    In: Financial Innovation.
    RePEc:spr:fininn:v:3:y:2017:i:1:d:10.1186_s40854-017-0056-y.

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  24. Quantifying the effect of investors’ attention on stock market. (2017). Yang, Zhen-Hua ; Han, Jing-Ti ; Liu, Jian-Guo ; Yu, Chang-Rui.
    In: PLOS ONE.
    RePEc:plo:pone00:0176836.

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