Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter

Jiang, Julie; Thomason, Jesse; Barbieri, Francesco; Ferrara, Emilio

doi:10.1145/3578503.3583596

Cited by 3 publications

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Twitter Sentiment Geographical Index Dataset

Chai,

Kakkar,

Palacios

et al. 2023

Sci Data

View full text Add to dashboard Cite

Promoting well-being is one of the key targets of the Sustainable Development Goals at the United Nations. Many national and city governments worldwide are incorporating Subjective Well-Being (SWB) indicators into their agenda, to complement traditional objective development and economic metrics. In this study, we introduce the Twitter Sentiment Geographical Index (TSGI), a location-specific expressed sentiment database with SWB implications, derived through deep-learning-based natural language processing techniques applied to 4.3 billion geotagged tweets worldwide since 2019. Our open-source TSGI database represents the most extensive Twitter sentiment resource to date, encompassing multilingual sentiment measurements across 164 countries at the admin-2 (county/city) level and daily frequency. Based on the TSGI database, we have created a web platform allowing researchers to access the sentiment indices of selected regions in the given time period.

show abstract

Twitter Sentiment Geographical Index Dataset

Chai,

Kakkar,

Palacios

et al. 2023

Sci Data

View full text Add to dashboard Cite

show abstract

Social Media Discourses on Interracial Intimacy: Tracking Racism and Sexism through Chinese Geo-located Social Media Data

Wei,

Xie,

Xiao

et al. 2024

Proceedings of the ACM Web Conference 2024

View full text Add to dashboard Cite

Understanding Users' Perspectives on Location Privacy Management on iPhones

Ma,

Sew,

Sarsenbayeva

et al. 2024

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

As the number of applications installed on smartphones continues to grow, the task of effectively managing location privacy has become increasingly complex. In this paper, we explore the factors that influence users' privacy-preserving intentions and contrast them with their actual behaviours. In addition, we compare location privacy concerns across different apps investigating the impact of app-specific features on the willingness to disclose location information. Our findings highlight significant challenges in privacy management due to privacy fatigue and perceived usability. Furthermore, participants raised the importance of more uniform standards regarding location privacy settings across various applications, calling for more detailed and interactive well-informed consent processes that highlight the risks instead of the benefits of disclosing location information. This research contributes important insights towards the development of more effective privacy settings that can foster increased user engagement in managing location privacy on smartphones.

show abstract

Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter

Cited by 3 publications

References 55 publications

Twitter Sentiment Geographical Index Dataset

Twitter Sentiment Geographical Index Dataset

Social Media Discourses on Interracial Intimacy: Tracking Racism and Sexism through Chinese Geo-located Social Media Data

Understanding Users' Perspectives on Location Privacy Management on iPhones

Contact Info

Product

Resources

About