Studying User Income through Language, Behaviour and Affect in Social Media

Cited by (219)

Items 101–200 of 219

1. Socioeconomic Patterns of Twitter User Activity
   Jacob Levy Abitbol, Alfredo J. Morales · 2021 · Entropy
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3. Inferring the Economic Attributes of Urban Rail Transit Passengers Based on Individual Mobility Using Multisource Data
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4. Proceedings of the Second Workshop on NLP and Computational Social Science
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5. Detecting cyber security related Twitter accounts and different sub-groups
   Mohamad Imad Mahaini, Shujun Li · 2021 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
6. Optimal Proxy Selection for Socioeconomic Status Inference on Twitter
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7. Stylistic variation over 200 years of court proceedings according to gender and social class
   Stefania Degaetano‐Ortlieb · 2018
8. Uncovering the relationships between military community health and affects expressed in social media
   Svitlana Volkova, Lauren Charles, Josh Harrison, Courtney D. Corley · 2017 · EPJ Data Science
9. Predicting PISA Scores from Students’ Digital Traces
   Ivan Smirnov · 2018 · Proceedings of the International AAAI Conference on Web and Social Media
10. Predicting and Analyzing Language Specificity in Social Media Posts
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11. Discovering patterns of customer financial behavior using social media data
    Alexander Kalinin, Danila A. Vaganov, Klavdiya Bochenina · 2020 · Social Network Analysis and Mining
12. More Cyberbullying, Less Happiness, and More Injustice—Psychological Changes During the Pericyberbullying Period: Quantitative Study Based on Social Media Data
    Liu, Xingyun, Liu, Miao, Kang, Xin, Han, Nuo, Liao, Yuehan, Ren, Zhihong · 2025 · Journal of Medical Internet Research
13. On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19
    Meghna Chaudhary, Kristin A. Kosyluk, Sylvia Wilson Thomas, Tempestt J. Neal · 2023 · Scientific Reports
14. Finding Qs: Profiling QAnon Supporters on Parler
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15. Do the Communities We Choose Shape our Political Beliefs? A Study of the Politicization of Topics in Online Social Groups
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16. Using Twitter-Based Data for Sexual Violence Research: Scoping Review
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17. Health issue identification in social media based on multi-task hierarchical neural networks with topic attention
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18. Linking Geosocial Sensing with the Socio-Demographic Fabric of Smart Cities
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19. Estimating Multiple Socioeconomic Attributes via Home Location—A Case Study in China
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20. A Method for Estimating Individual Socioeconomic Status of Twitter Users
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21. Towards Context-Aware Social Behavioral Analytics
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22. The impact of family violence incidents on personality changes: An examination of social media users’ messages in C hina
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23. Panic Buying Behavior Analysis according to Consumer Income and Product Type during COVID-19
    Irineu de Brito, Hugo Tsugunobu Yoshida Yoshizaki, Flaviane Azevedo Saraiva, Nathan de Campos Bruno, Roberto Fray da Silva, Celso Mitsuo Hino, Larissa Limongi Aguiar, Isabella Marrey Ferreira de Ataide · 2023 · Sustainability
24. Assessing Socioeconomic Status of Twitter Users: A Survey
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25. Transmission mechanism of public concern in waste-sorting policy: Evidence from text mining
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26. Text Analysis in Python for Social Scientists
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27. User profiling with geo-located posts and demographic data
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28. Beyond the filter: Impact of popularity on the mental health of social media influencers
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29. Learning about individuals' health from aggregate data
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30. Building High Performance Explainable Machine Learning Models for Social Media-based Substance Use Prediction
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31. Using TF-IDF n-gram and Word Embedding Cluster Ensembles for Author Profiling.
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32. A rare allergic reaction to sodium methohexital.
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33. Social media sensors as early signals of influenza outbreaks at scale
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34. Political dimensionality estimation using a probabilistic graphical model
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35. New digital opportunities in diagnosis and prevention of students’ mental health
    GA Goncharova · 2022
36. Lady and the Tramp Nextdoor: Online Manifestations of Real-World Inequalities in the Nextdoor Social Network
    Waleed Iqbal, Vahid Ghafouri, Gareth Tyson A, Guillermo Suárez‐Tangil, Ignacio Castro · 2023 · Proceedings of the International AAAI Conference on Web and Social Media
37. Fine-Grained Temporal Orientation and its Relationship with Psycho-Demographic Correlates
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38. Demystifying media sources of information and levels of knowledge about COVID-19: a rapid mini-review of cross-sectional studies in Africa
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39. Predicting Social Media User Occupation with Content-aware Hierarchical Neural Networks
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40. Who Tweets in Italian? Demographic Characteristics of Twitter Users
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41. Resolution of grammatical tense into actual time, and its application in Time Perspective study in the tweet space
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42. Predicting the demographics of Twitter users with programmatic weak supervision
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43. Coupling human mobility and social relationships to predict individual socioeconomic status: A graph neural network approach
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44. Predicting Gaming Related Properties from Twitter Profiles
    Freddie Kalaitzis, Maria I. Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan, Nitin Gautam · 2016 · IEEE International Conference on Big Data Computing Service and Applications (BigDataService)
45. Limitations of time resources in human relationships determine social structures
    Masanori Takano, Ichiro Fukuda · 2017 · Humanities and Social Sciences Communications
46. Controlling Human Perception of Basic User Traits
    Daniel Preoțiuc-Pietro, Sharath Chandra Guntuku, Lyle Ungar · 2017 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
47. Coupled social media content representation for predicting individual socioeconomic status
    Tao Zhao, Lu Tang, Jinfeng Huang, Xiaoming Fu · 2022 · Expert Systems with Applications
48. Unveiling Cognitive Constraints in Language Production: Extracting and Validating the Active Ego Network of Words
    Kilian Ollivier, Chiara Boldrini, Andrea Passarella, Marco Conti · 2024 · IEEE Transactions on Computational Social Systems
49. Analyzing Linguistic Differences between Owner and Staff Attributed Tweets
    Daniel Preoțiuc-Pietro, Rita Devlin Marier · 2019 · Proceedings of the conference - Association for Computational Linguistics. Meeting
50. Occupation Prediction with Multimodal Learning from Tweet Messages and Google Street View Images
    Xinyi Liu, Bo Peng, Meiliu Wu, Mingshu Wang, Heng Cai, Qunying Huang · 2024 · AGILE GIScience Series
51. Occupational Representativeness in Twitter
    Sunghwan Mac Kim, Stephen Wan, Cécile L. Paris · 2016 · Australasian Document Computing Symposium
52. Proceso de rendimiento académico con la identidad universitaria en argentinos, peruanos, mexicanos y costarricenses considerando factores de la neurociencia
    Joel Luis Jiménez Galán, Patricia Lorelei Mendoza Roaf, Jorge Alberto Aimaretti, Pedro Flores Peña, Miguel Ángel Montalvo Vivanco, Oscar Mena Redondo · 2020 · RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo
53. Increasing Data-Knowledge Through Artistic Representation
    Jayne Spence, Ellie Schachter, Ayesha Saleem, Bochen Jia · 2021 · Communications in computer and information science
54. Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods
    Marzieh Saeidi, Alessandro Venerandi, Licia Capra, Sebastian Riedel · 2017 · arXiv (Cornell University)
55. Predicting Demographics of High-Resolution Geographies with Geotagged Tweets
    Omar Montasser, Daniel Kifer · 2017 · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
56. Leveraging the potential of social media: Unveiling the influence of customer-generated photos on customer behavior
    Asif Ali Safeer, Muhammad Abrar, Yewang Zhou · 2025 · PLoS ONE
57. Summarizing Opinions with Sentiment Analysis from Multiple Reviews on Travel Destinations
    Argha Roy, Shyamali Guria, Suman Halder, Sayani Banerjee, Sourav Mandal · 2018 · International Journal of Synthetic Emotions
58. What sets Verified Users apart?
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59. Machine Learning-Based Model for Optimum Design of TMDs by Using Artificial Neural Networks
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60. Rethinking Cities for Resilience and Growth in the Post-COVID-19 World
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61. Adolescent Readers vs Online-Surfers: Aggression Rates and School Climate Perceptions
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62. What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter
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63. Political Homophily in Independence Movements: Analysing and Classifying Social Media Users by National Identity
    Arkaitz Zubiaga, Bo Wang, Maria Liakata, Rob Procter · 2017 · arXiv (Cornell University)
64. Can a Twitter-Based Measure of Racial Heterogeneity Explain Neighborhood Crime Differences? Proposing an Ambient Population Measure of Social Disorganization
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65. Sosyal Medya Aktivizminin Çevrimdışı Aktivizme Etkisi ve Demografik Faktörlerin Rolü
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66. Digital pulse of development: Leveraging social media discourse for poverty analysis
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67. SOCIAL NETWORKS AS REFLECTION OF ACADEMIC PERFORMANCE
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68. Automatically Infer Human Traits and Behavior from Social Media Data
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69. Investigation and Analysis on the Relationship Between Received Feedback and Personality Changes of Twitter Users
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70. Summarizing Opinions with Sentiment Analysis from Multiple Reviews on Travel Destinations
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71. Learning to Personalize Medicine from Aggregate Data
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72. References
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75. Social Media Sensors to Detect Early Warnings of Influenza at Scale
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76. Predicting Restaurant Consumption Level through Social Media Footprints
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77. Statistical Analysis of the Relationship between Visual Features and Personality
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