Tweeting the financial market: Media effect in the era of Big Data

Li, Peipei; Xia, Xinping; Li, Antai

doi:10.1016/j.pacfin.2018.07.007

Cited by 17 publications

(12 citation statements)

References 32 publications

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“…They used Chinese platforms, such as Hexun and Sina Weibo, and considered the stock index from 77 corporate companies in Shanghai and Shenzhen. The experimental results highlighted the positive relationship between the trading volumes/financial turnover ratios and the media activities [199].…”

Section: Other Social Media Platformsmentioning

confidence: 78%

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Text Mining in Big Data Analytics

Hassani

Beneki

Unger

et al. 2020

BDCC

185

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Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data. This study seeks to determine the state of text mining research by examining the developments within published literature over past years and provide valuable insights for practitioners and researchers on the predominant trends, methods, and applications of text mining research. In accordance with this, more than 200 academic journal articles on the subject are included and discussed in this review; the state-of-the-art text mining approaches and techniques used for analyzing transcripts and speeches, meeting transcripts, and academic journal articles, as well as websites, emails, blogs, and social media platforms, across a broad range of application areas are also investigated. Additionally, the benefits and challenges related to text mining are also briefly outlined.

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Section: Other Social Media Platformsmentioning

confidence: 78%

“…A study by Liu et al [199] sought to assess social media effects in the big data era. They used Chinese platforms, such as Hexun and Sina Weibo, and considered the stock index from 77 corporate companies in Shanghai and Shenzhen.…”

Section: Other Social Media Platformsmentioning

confidence: 99%

Text Mining in Big Data Analytics

Hassani

Beneki

Unger

et al. 2020

BDCC

185

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“…Even though the ARA 30,1 management could use social media (e.g. Twitter) to signal the announcement of results and, consequently, affect stock returns (Liu et al, 2018), the signal would not provide the actual CFV information. Therefore, any information circulating in the market one to three months before the preliminary final report announcement date is more likely to be considered speculative and information leakage is not likely.…”

Section: Valuerelevance Of Changes In Fair Valuesmentioning

confidence: 99%

Value-relevance of reported changes in fair values and measurement-related fair value disclosures: evidence from the Australian real estate industry

Sangchan

Bhuiyan

Habib

2021

ARA

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PurposeThe paper aims to investigate the value-relevance of changes in fair values of investment property reported under International Accounting Standards (IAS) 40 and International Financial Reporting Standards (IFRS) 13.Design/methodology/approachMultivariate regression models are used to regress cumulative market-adjusted stock returns of real estate firms on changes in fair values, along with control variables and corporate governance variables, in order to examine the research question.FindingsUsing hand-collected data from the Australian Real Estate Industry (AREI), the authors find that changes in fair values of investment property are value-relevant for equity investors. The authors further find that using unobservable inputs in an active market (Level 3 inputs) does not diminish the information content of fair values. The authors document that properties valued exclusively by directors have a significantly reduced value-relevance, whereas property valuations made collectively by both directors and independent valuers have superior value-relevance, possibly owing to the combination of inside knowledge and externally imposed monitoring. Collectively, the findings suggest that in the real estate industry, where unobservable inputs are commonly used to determine fair values of properties, the fair values determined subjectively are perceived to be sufficiently informative and relevant.Research limitations/implicationsThe authors' findings have important implications for accounting standard-setters in considering whether an external valuation should be required and whether the extensive measurement-related fair value disclosure requirements are useful.Originality/valueThe study extends previous archival evidence and complements prior commentaries on experimental and analytical work in the Australian regulatory environment.

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“…This study has used Weibo, the Chinese equivalent to Twitter as the data source to explore the public attitudes in China toward live-streaming fitness. As the most open and extensive social media site in China (20), Weibo had 573 million monthly active users and 248 million daily active users by the third quarter of 2021 (21), and, as such, it has been used extensively to capture the collective attitudes of the Chinese people on public health matters. For example, Gao et (24).…”

Section: Introductionmentioning

confidence: 99%

Exploring public attitudes toward live-streaming fitness in China: A sentiment and content analysis of China's social media Weibo

Tian

Yin²,

Gan³

2022

Front. Public Health

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ObjectivesLive-streaming fitness is perceived by the Chinese government as an invaluable means to reduce the prevalence of physical inactivity amid the COVID-19 pandemic. This study aims to investigate the public altitudes of the Chinese people toward live-streaming fitness and provide future health communication strategies on the public promotion of live-streaming fitness accordingly.MethodsThis study collected live-streaming fitness-related microblog posts from July 2021 to June 2022 in Weibo, the Chinese equivalent to Twitter. We used the BiLSTM-CNN model to carry out the sentiment analysis, and the structured topic modeling (STM) method to conduct content analysis.ResultsThis study extracted 114,397 live-streaming fitness-related Weibo posts. Over 80% of the Weibo posts were positive during the period of the study, and over 85% were positive in half of the period. This study finds 8 topics through content analysis, which are fitness during quarantine; cost reduction; online community; celebrity effect; Industry; fitness injuries; live commerce and Zero Covid strategy.ConclusionsIt is discovered that the public attitudes toward live-streaming fitness were largely positive. Topics related to celebrity effect (5–11%), fitness injuries (8–16%), live commerce (5–9%) and Zero Covid strategy (16–26%) showed upward trends in negative views of the Chinese people. Specific health communication strategy suggestions are given to target each of the negative topics.

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Tweeting the financial market: Media effect in the era of Big Data

Cited by 17 publications

References 32 publications

Text Mining in Big Data Analytics

Text Mining in Big Data Analytics

Value-relevance of reported changes in fair values and measurement-related fair value disclosures: evidence from the Australian real estate industry

Exploring public attitudes toward live-streaming fitness in China: A sentiment and content analysis of China's social media Weibo

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