Using Tweets to Assess Mental Well-being of Essential Workers During the COVID-19 Pandemic

Blair, Johnna; Hsu, Chi-Yang; Qiu, Ling; Huang, Shih-Hong; Huang, Ting-Hao; Abdullah, Saeed

doi:10.1145/3411763.3451612

Cited by 12 publications

(7 citation statements)

References 11 publications

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“…It provides helpful flags that help filter tweets based on conditions such as the number of likes, the number of replies, language, identification number of tweet etc. (Blair et al, 2021;Nkonde et al, 2021;Sarkar, Rajadhyaksha, 2021). There were no retweets in downloaded tweets.…”

Section: Methodsmentioning

confidence: 99%

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2022

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The potential of selected registration modules of the integrated IT environment in the practical building of financial monitoring of the enterprise …………………………………………………………... 19.Beata MAJECKA -Behavioural aspects of the use of telemedicine systems in healthcare entities ………………………………………………………………….. 20.Adrianna MASTALERZ-KODZIS -Alternative investments -measuring risk and investment efficiency …………………………………………………………….. 21.Piotr MAŚLOCH -The concept of using artificial intelligence in the process of building a marketing communication strategy (avatar model) …………………….. 22.Aneta MICHALAK, Michał ZOCHOREK -The analysis of selected incentives in the Polish mining from the perspective of different employee groups …………….. Aneta MICHALAK, Michał ZOCHOREK -The relationships between managers and the people answering to them as an incentive system component based on the example of a mining company ………………………………………………… 24. Monika MIŚKIEWICZ-NAWROCKA -The impact of the Covid-19 pandemic on the financial condition of large enterprises in Poland ……………………………... 25. Anna MULARCZYK -Analysis of the development of renewable energy sources in Poland ……………………………………………………………………………… 26. Tomasz NAWROCKI -Issues of intellectual capital evaluation in an enterprise in relation to the method basing on the difference between its market and book value ... 27. Tomasz NITKIEWICZ, Piotr PACHURA -Conditions of introducing circular business models into craft breweries -LCA approach ……………………………….. 28. Marian OLIŃSKI -Diversification of revenue as a contemporary challenge in the activities of public benefit organizations ………………………………………. 29. Magdalena RACZYŃSKA, Krzysztof KRUKOWSKI -Information and communication technology and the implementation of business process management in public organizations in Poland ………………………………………. 30. Katarzyna ROZPONDEK -The significance of the smart city concept for creators of Big Data solutions …………………………………………………………………. 31. Joanna RYDAROWSKA-KURZBAUER -Contribution of selected factors to the creation of regional and national economic growth. Example of Poland in years 2000-2020 ……………………………………………………………………. 32. Dariusz SOBOTKIEWICZ -Decentralization in multi-entity organizations as a contemporary challenge for parent company ……………………………………. 33. Anna SVITANA, Jan SWITANA, Roman SWITANA -Outsourcing management concept as a distinct legal construction ……………………………………………….. 34. Izabela SZTANGRET -Contemporary challenges facing companies. "Occupational burningout" in the concept of sustainable development ……………… 35. Danuta SZWAJCA -Customer service in the digital reality. Challenges for contemporary companies …………………………………………………………. 36. Monika SZYMURA -Patent and other intellectual property in a company: challenges and opportunities ………………………………………………………….. 37. Mateusz TRZECIAK -Research issues in programme management: a systematic review of literature ……………………………………………………………………. 38. Natalia WCISŁO, Mateusz GUZE, Ireneusz J. JÓŹWIAK -Artificial intelligence models supporting economical decisions compared to traditional decision...

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Section: Methodsmentioning

confidence: 99%

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“…and perceptions of health policies and government institutions [41]. Such studies have uncovered key insights on how language patterns reflect people's beliefs [109], sentiments [54], and emotional wellbeing [10,118] during Covid-19. For example, researchers have examined collective shifts in the public mood in response to the evolving pandemic news cycles by analyzing the daily sentiment of tweets [105].…”

Section: Related Work 21 Understanding the Impact Of Social Media Lan...mentioning

confidence: 99%

Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language

Ding,

Carik,

Gunturi

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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We introduce a multi-step reasoning framework using promptbased LLMs to examine the relationship between social media language patterns and trends in national health outcomes. Grounded in fuzzy-trace theory, which emphasizes the importance of "gists" of causal coherence in effective health communication, we introduce Role-Based Incremental Coaching (RBIC), a prompt-based LLM framework, to identify gists at-scale. Using RBIC, we systematically extract gists from subreddit discussions opposing COVID-19 health measures (Study 1). We then track how these gists evolve across Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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“…Twitter data was collected using the Snscrape library, filtering English-language tweets with hashtags like #coronavirus #CoronavirusOutbreak #pandemic #CoronavirusPandemic #WuhanCoronavirus as they were among the top 10 most frequently used hashtags in tweets during the pandemic's onset (21,22). For the three periods, we collected around 3.2 million tweets.…”

Section: Data Collectionmentioning

confidence: 99%

Understanding investors behaviors during the COVID-19 outbreak using Twitter sentiment analysis

Nguyen,

Dev

2023

J Emerg Invest

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The COVID-19 pandemic caused stock price volatility and a market crash in 2020. Such events were an opportunity to gain insights into investor psychology. We sought to examine investors behaviors during the COVID-19 outbreak by analyzing the correlation between COVID-19-related tweet sentiment and stock price movements. The analysis was done at three levels: the stock market, the industry sector, and individual company stocks. We hypothesized that the investors would initially underestimate the health risk associated with the pandemic, but as time progressed, acknowledge the health risk and start panic selling. By analyzing the correlation between tweet sentiment and stock prices, we discovered that after the World Health Organization (WHO) declared the outbreak a Public Health Emergency of International Concern (PHEIC), investors displayed a tendency to disregard the health risk, coinciding with an increase in stock prices. However, the U.S. Centers for Disease Control and Prevention (CDC) warning and the pandemic declaration coincided with a period during which investors may have displayed a sense of apprehension, with the stock prices declining at the same time. To validate the sentiment analysis results, we also identified the most-used words in tweets and analyzed the correlation between tweet features and stock prices. Our work showed that, along with economic variables, behavioral factors like investor sentiment help explain the market’s behavior. Our work also highlighted the value of using a mixed methods approach to study complex processes in the real world.

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Using Tweets to Assess Mental Well-being of Essential Workers During the COVID-19 Pandemic

Cited by 12 publications

References 11 publications

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Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language

Understanding investors behaviors during the COVID-19 outbreak using Twitter sentiment analysis

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