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Say It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data · Study

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ChapterSay It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data

Simon Jonas Alfano2017

Chapter2017

Say It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data

Simon Jonas Alfano · Nicolas Pröllochs · Stefan Feuerriegel · Dirk Neumann

3 citations·0/0 files stored·Annals of information systems

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Computational and Text Analysis Methods Auditing, Earnings Management, Governance Financial Reporting and XBRL

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References

2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market 2004Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards 2008More Than Words: Quantifying Language to Measure Firms' Fundamentals 2009Textual analysis of stock market prediction using breaking financial news 2012Processing Fluency and Investors’ Reactions to Disclosure Readability 2020Corporate Communication: A Guide to Theory and Practice 2013When the Use of Positive Language Backfires: The Joint Effect of Tone, Readability, and Investor Sophistication on Earnings Judgments

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2016Textual Analysis in Accounting and Finance: A Surveyarticle · 4 shared references 2014Text mining for market prediction: A systematic reviewreview · 4 shared references 2011Measuring Readability in Financial Disclosurespreprint · 4 shared references 2014The effect of news and public mood on stock movementsarticle · 4 shared references 2017Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspectivearticle · 4 shared references 2017Sentiment-aware stock market prediction: A deep learning methodother · 4 shared references

Details

Year2017

Typechapter

Published2017-10-06

VenueAnnals of information systems

ISSN-L1934-3213

Languageen

Citations3

Files0 public / 0

ShelfComputational and Text Analysis Methods

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doi10.1007/978-3-319-58097-5_15

openalex_workW2762328065

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