Follow the money: A study of cashtags on Twitter

Hentschel, Martin; Alonso, Omar

doi:10.5210/fm.v19i8.5385

Cited by 15 publications

(10 citation statements)

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“…The buzzer is literally a device that produces noise that attracts attention. The buzzer referred to in Twitter is an account that has a large influence, fanatical followers, their tweets are often retweeted, actively interact with followers and have a large number of followers [19], [20].…”

Section: Resultsmentioning

confidence: 99%

The Effectiveness Of Election Silence According To PKPU (Regulation Of The General Election Comission) NO. 23 of 2018 Concerning Election Campaigns On Social Media

Fatmawati¹,

Ulfa²

2019

Proceedings of the Proceedings of the 1st International Conference on Business, Law and Pedagogy, ICBLP 2019, 13-15 February 20

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This study aims to look at the effectiveness of election silence legality related to PKPU (Regulation of The General Election Commission) no. 23 of 2018 concerning the Election Campaign for sympathizers on social media ahead of the 2019 presidential election. The method of this research is normative legal research which, among others, reviews PKPU no. 23 of 2018 on Election Campaign and Law no. 7 of 2017 on General Elections. The result shows that PKPU regulates sympathizers of supporting candidates to be officially registered, but social media accounts of those sympathizers are not included to campaign team accounts that have to be registered. Such fact raises speculation on the possibility of using those accounts as tool in conducting a covert campaign during Election Silence by campaign team. Thus, the aim of election silence which is to give prospective voters the opportunity to calmly consider before deciding can't be obtained. The limitation of registration quota of the social media accounts of campaign teams is not in line with the large number of sympathizers who use social media as tools to influence community for choosing the supported candidate.

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Section: Resultsmentioning

confidence: 99%

The Effectiveness Of Election Silence According To PKPU (Regulation Of The General Election Comission) NO. 23 of 2018 Concerning Election Campaigns On Social Media

Fatmawati¹,

Ulfa²

2019

Proceedings of the Proceedings of the 1st International Conference on Business, Law and Pedagogy, ICBLP 2019, 13-15 February 20

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“…Cashtags allow tracking financial information about a specific company or market. Related to this mechanism, [14] reported an exploratory analysis of public tweets in English which contain at least one cashtag from NASDAQ (National Association of Securities Dealers Automated Quotation) or NYSE (New York Stock Exchange). The research concludes that the use of cashtag is higher in the technologic sector, which seems to be related to the technological profile of most of the Twitter users.…”

Section: Related Workmentioning

confidence: 99%

The Irruption of Cryptocurrencies Into Twitter Cashtags: A Classifying Solution

2020

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There is a consensus about the good sensing characteristics of Twitter to mine and uncover knowledge in financial markets, being considered a relevant feeder for taking decisions about buying or holding stock shares and even for detecting stock manipulation. Although Twitter hashtags allow to aggregate topic-related content, a specific mechanism for financial information also exists: Cashtag (consisting of the company ticker preceded by $) is a supporting mechanism to track financial tweets referring to a company listed in a stock market. However, according to our experiments and due to the lack of conventions in cashtags usage, the irruption of cryptocurrencies has resulted in a significant degradation on the cashtag-based aggregation of posts. Unfortunately, Twitter' users may use homonym tickers to refer to cryptocurrencies and to companies in stock markets, which means that filtering by cashtag may result on both posts referring to stock companies and cryptocurrencies. This research proposes automated classifiers to distinguish conflicting cashtags and, so, their container tweets by analyzing the distinctive features of tweets referring to stock companies and cryptocurrencies. As experiment, this paper analyses the interference between cryptocurrencies and company tickers in the London Stock Exchange (LSE), specifically, companies in the main and alternative market indices FTSE-100 and AIM-100. Heuristic-based as well as supervised classifiers are proposed and their advantages and drawbacks, including their ability to self-adapt to Twitter usage changes, are discussed. The experiment confirms a significant distortion in collected data when colliding or homonym cashtags exist, i.e., the same $ acronym to refer to company tickers and cryptocurrencies. According to our results, the distinctive features of posts including cryptocurrencies or company tickers support accurate classification of colliding tweets (homonym cashtags) and Independent Models, as the most detached classifiers from training data, have the potential to be trans-applicability (in different stock markets) while retaining performance. INDEX TERMS AIM-100, cashtags, cryptocurrencies, data analysis, FTSE-100, london stock exchange, support vector machines, twitter.

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“…Cashtags are stock market symbols that can be included in tweets and when preceded with a dollar sign (for example $VOD in regards to Vodafone) become clickable. [3] reported an exploratory analysis of public tweets in English, extracted via Firehose, which should contain at least one Cashtag from NASDAQ or NYSE. The analysis concludes that the use of Cashtag is higher in the technologic sector, which seems to be related with the technological profile of most of the Twitter users; and the top 10 Twitter accounts according to the usage of cash-tags are companies or news agencies (i.e.…”

Section: Twitter and Financial Informationmentioning

confidence: 99%

Experiment for Analysing the Impact of Financial Events on Twitter

Vilas

Evans

Owda

et al. 2017

Algorithms and Architectures for Parallel Processing

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Twitter, as the heart of publicly accessible Social Media, is one of the currently used platforms to share financial information and is a valuable source of information for different roles in the financial market. For all these roles, the quality analysis of Twitter as a source of financial information is essential to take decisions. The work in this paper is aligned with the ongoing work of the authors to a solution for irregularity monitoring in the financial market by harnessing data in online social media. To do so, the permeability of a variety of social media data feeders to financial irregularities should be analysed. That is the case of the experiment in this paper by putting the focus on Twitter microblogging platform and checking if this general purpose social media is permeable to a specific financial event. For this, we detail the analysis of Twitter permeability to a specific event in the past few months: the announcement about the merge of Tesco and Booker to create a UK's Leading Food Business on the 27 th January 2017. Both companies Tesco PLC and Booking Group PLC are listed in the main market of LSE (London Stock Exchange). Our findings provide promising evidences to address the problem of real-time detection of irregularities in the financial market via Twitter according to the volume (as a sign of the importance of the irregularity) and to other features (as signs of the potential origin causing the irregularity).

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Follow the money: A study of cashtags on Twitter

Cited by 15 publications

References 0 publications

The Effectiveness Of Election Silence According To PKPU (Regulation Of The General Election Comission) NO. 23 of 2018 Concerning Election Campaigns On Social Media

The Effectiveness Of Election Silence According To PKPU (Regulation Of The General Election Comission) NO. 23 of 2018 Concerning Election Campaigns On Social Media

The Irruption of Cryptocurrencies Into Twitter Cashtags: A Classifying Solution

Experiment for Analysing the Impact of Financial Events on Twitter

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