yusuke1997/dblp-id-title huggingface dataset:
Estimating time-series changes in social sentiment @Twitter in U.S. metropolises during the COVID-19 pandemic
An analysis of US domestic migration via subset-stable measures of administrative data
Exposing the behavior of rumour spreaders on Twitter: targeted versus non-targeted rumour
More pressing matters: Can priority reorientation beat online misinformation?
Impact of technostress and work-family conflict on turnover intention among nurses in Bangladesh: a moderation effect of perceived supervisor support
Impact of income inequality on health and education in Africa: the long-run role of public spending with short-run dynamics
Lingual markers for automating personality profiling: background and road ahead
The geopolitics of vaccine media representation in Orbán's Hungary - an AI-supported sentiment analysis
Characteristics of two polarized groups in online social networks' controversial discourse
Prefix tuning with prompt augmentation for efficient financial news summarization
A comprehensive review on insider trading detection using artificial intelligence
Uncovering electric vehicle ownership disparities using K-means clustering analysis: A case study of Austin, Texas
Did the public attribute the Flint Water Crisis to racism as it was happening? Text analysis of Twitter data to examine causal attributions to racism during a public health crisis
It's my turn: empirical evidence of upstream indirect reciprocity in society through a quasi-experimental approach
From defection to ingroup favoritism to cooperation: simulation analysis of the social dilemma in dynamic networks
The intertwined cyberbalkanizations of Facebook pages and their audience: an analysis of Facebook pages and their audience during the 2014 Hong Kong Occupy Movement
Anchoring bias in large language models: an experimental study
Second-order micromotives and macrobehaviour
CEOs' online personality and their company's business strategy: openness to experience predicts diversifying merger and acquisition decisions
Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime
A modelling study to explore the effects of regional socio-economics on the spreading of epidemics
AI-driven crime prediction: a systematic literature review
Advancing language models through domain knowledge integration: a comprehensive approach to training, evaluation, and optimization of social scientific neural word embeddings
On principal eigenpair of temporal-joined adjacency matrix for spreading phenomenon
An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms
Perception of COVID-19 vaccination among Indian Twitter users: computational approach
Towards a large scale analysis of claims: developing a machine learning method for detecting and classifying politicians' claims of representation
Detecting multi-timescale consumption patterns from receipt data: a non-negative tensor factorization approach
Substance use prediction using artificial intelligence techniques
AI-driven forecasting of rural development in India: a deep learning case study on the gram panchayat development plan
Understanding the social construction of juvenile delinquency: insights from semantic analysis of big-data historical newspaper collections
Measuring satirical uptake using word sentiment
Algorithms may not learn to play a unique Nash equilibrium
Operation gridlock: opposite sides, opposite strategies
Autonomy or control? An agent-based study of self-organising versus centralised task allocation
Empowering users in minimizing air pollution exposure during travel: a scalable algorithmic solution
Personal stories matter: topic evolution and popularity among pro- and anti-vaccine online articles
Auditing the bias of conversational AI systems in occupational recommendations: a novel approach to bias quantification via Holland's theory
Dynamics of global trade diplomacy: an artificial intelligence multi-dimensional analysis of preferential trade agreements
Affective, cognitive, and contextual cues in Reddit posts on artificial intelligence
Migration and emotions in the media: can socioeconomic indicators predict emotions in images associated with immigrants?
Groups' contribution to shaping ethnic residential segregation: a dynamic approach
Deep diving into the S&P Europe 350 index network and its reaction to COVID-19
An open-source framework for non-spatial and spatial segregation measures: the PySAL segregation module
The risk co-de model: detecting psychosocial processes of risk perception in natural language through machine learning
The emotional trajectory of non-suicidal self-injury: sentiment analysis using social media data
MAS-Bench: a benchmarking for parameter calibration of multi-agent crowd simulation
DeepConnection: classifying momentary relationship state from images of romantic couples
Extracting multiple layers of social networks through a 7-month survey using a wearable device: a case study from a farming community in Japan
A multidimensional analysis of media framing in the Russia-Ukraine war
Moderators of reputation effects in peer-to-peer online markets: a meta-analytic model selection approach
Where did you come from, where did you go? News trajectories in Germany and Switzerland
Performance efficient vehicle detection and tracking based on pyramid pooling network: a review and implementation
Correction to: The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub
Enhanced sentiment analysis regarding COVID-19 news from global channels
Space-time clustering and Bayesian network modelling of suicide dynamics in India
The rhythm of Mexico: an exploratory data analysis of Spotify's top 50
Temporal communication dynamics in the aftermath of large-scale upheavals: do digital footprints reveal a stage model?
Centre assessment grades in 2020: a natural experiment for investigating bias in teacher judgements
A survey of Emotional Artificial Intelligence and crimes: detection, prediction, challenges and future direction
Multidimensional inequality in Chinese economics academia
Long-term care comparative studies by agent-based simulation: a computational framework and a case study
A machine learning approach to detect collusion in public procurement with limited information
Simulating relational event history data: why and how
News loopholing: Telegram news as portable alternative media
Aligning agent-based testing (ABT) with the experimental research paradigm: a literature review and best practices
Image forgery detection: comprehensive review of digital forensics approaches
The ripple effect of retraction on an author's collaboration network
Is meritocracy just? New evidence from Boolean analysis and Machine learning
A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes
Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999-2021
Measuring spatio-textual affinities in twitter between two urban metropolises
Determining political interests of issue-motivated groups on social media: joint topic models for issues, sentiment and stance
Computational approach to studying media coverage of organizations
A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis
Detecting misinformation through framing theory: the frame element-based model
Multi-model ensemble framework for analysis of psychopathic traits in heinous crime convicts
Predicting job-hopping motive of candidates using answers to open-ended interview questions
Reducing sexual predation and victimization through warnings and awareness among high-risk users
Quantifying collective attention and fan engagement: a case study of the Japanese professional baseball league
Bridging the offline and online: 20 years of offline meeting data of the German-language Wikipedia
Parenting methods in relation to norm awareness, social success, and perspectives of family in adulthood
Community membership consistency applied to corporate board interlock networks
Estimation of sales decrease caused by a disaster: Hokkaido blackout after earthquake in 2018
Early warning signals from the periphery: A model suggestion for the study of critical transitions
Correction to: Online influence, offline violence: language use on YouTube surrounding the 'Unite the Right' rally
Enhancing tokenization accuracy with dynamic patterns: cumulative logic for segmenting user-generated content in logographic languages
Detection and context reconstruction of sub-events that influence the course of a news event from microblog discussions
Exponential random graph models for the Japanese bipartite network of banks and firms
Comparing nine machine learning classifiers for school-dropouts using a revised performance measure
An AI-based approach to auto-analyzing historical handwritten business documents: : As applied to the Kanebo database
Predicting news deserts using supervised machine learning
GenAI against humanity: nefarious applications of generative artificial intelligence and large language models
Psychological trait inferences from women's clothing: human and machine prediction
On cyberbullying incidents and underlying online social relationships
Mental disorder and suicidal ideation detection from social media using deep neural networks
Ethnic segregation and spatial patterns of attitudes: studying the link using register data and social simulation
Exploring the political pulse of a country using data science tools
Correction to: Characterizing the roles of bots on Twitter during the COVID‑19 infodemic
Hierarchy and the power-law income distribution tail
Intra-family links in the analysis of marital networks
Different patterns of social closeness observed in mobile phone communication
Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter
Periodicity of sex worker touring: an image-assisted analysis
Leveraging machine learning and resampling techniques to analyze contributing factors to child labor in Egypt
Transfer learning for hate speech detection in social media
Narrative economics using textual analysis of newspaper data: new insights into the U.S. Silver Purchase Act and Chinese price level in 1928-1936
Colorado in context: Congressional redistricting and competing fairness criteria in Colorado
Telegram channels covering Russia's invasion of Ukraine: a comparative analysis of large multilingual corpora
Geographies of Twitter debates: Detect public stances on Brexit at UK parliamentary constituencies' level
User behaviors in consumer-generated media under monetary reward schemes
Interpolation of non-random missing values in financial statements' big data using CatBoost
An agent-based model of cooperation with cross-cutting identity dimensions
Prediction of juvenile crime in Bangladesh due to drug addiction using machine learning and explainable AI techniques
A comparative study of automated undergraduate engineering admission prediction in an Indian university using machine learning
Grounding force-directed network layouts with latent space models
Analyzing polarization among Spanish political elites using machine learning techniques
Spatio-temporal violent event prediction using Gaussian process regression
The digital trail of Ukraine's 2022 refugee exodus
Gerrymandering and computational redistricting
Sharing is caring? How moral foundation frames drive the sharing of corrective messages and misinformation about COVID-19 vaccines
Identifying early help referrals for local authorities with machine learning and bias analysis
A comparison of sequential ranked-choice voting and single transferable vote
Predicting declining and growing occupations using supervised machine learning
#Election2020: the first public Twitter dataset on the 2020 US Presidential election
Estimating the command hierarchy of a drug trafficking group based on criminals' telecommunication network
Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19
Semi-supervised self-training for COVID-19 misinformation detection: analyzing Twitter data and alternative news media on Norwegian Twitter
Correction to: Polysemy and the sociolinguistics of policy ideas: resilience, sustainability and wellbeing 2000-2020
Detecting science-based health disinformation: a stylometric machine learning approach
The temporal evolution of a far-right forum
Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation
Efficient annotation reduction with active learning for computer vision-based Retail Product Recognition
Early student dropout detection in Indian secondary education with special reference to selected districts in Tamil Nadu: a machine learning-based survival analysis approach
Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news
Intelligent money laundering detection approaches in banking and E-wallets: a comprehensive survey
Sentiment and position-taking analysis of parliamentary debates: a systematic literature review
Analyzing public sentiment in Iranian presidential elections on Twitter using large language models
A high-dimensional approach to measuring online polarization
Agent-based modeling for migration and modern slavery research: a systematic review
Impact of information disparity between individual investors on profits of meme stocks using an artificial market simulation approach
Capitalizing on a crisis: a computational analysis of all five million British firms during the Covid-19 pandemic
Analyzing adolescents' e-cigarette initiation tendency using explainable machine learning
Towards a taxonomy of team workflow structures
Predicting regime shifts in social systems modelled with agent-based methods
The coordination network toolkit: a framework for detecting and analysing coordinated behaviour on social media
Survey of evolutionary computation methods in social agent-based modeling studies
Pursuing open-source development of predictive algorithms: the case of criminal sentencing algorithms
Network segregation in a model of misinformation and fact-checking
An open software environment to make spatial access metrics more accessible
Classifying crime places by neighborhood visual appearance and police geonarratives: a machine learning approach
Spatialising 'carceral mobilities': extracting census data for analysis of prisoner inflow, transfer and release
Varieties of corona news: a cross-national study on the foundations of online misinformation production during the COVID-19 pandemic
The value of manual annotation in assessing trends of hate speech on social media: was antisemitism on the rise during the tumultuous weeks of Elon Musk's Twitter takeover?
The rise of Jihadist propaganda on social networks
A big data analysis of the adoption of quoting encouragement policy on Twitter during the 2020 U.S. presidential election
Tackling transparency in UK politics: application of large language models to clustering and classification of UK parliamentary divisions
A comprehensive review of visual-textual sentiment analysis from social media networks
Angels or demons? Classifying desirable heavy users and undesirable power sellers in online C2C marketplace
Online influence, offline violence: language use on YouTube surrounding the 'Unite the Right' rally
The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub
Cognitive mechanisms for human flocking dynamics
Exploring beyond detection: a review on fake news prevention and mitigation techniques
How he won: Using machine learning to understand Trump's 2016 victory
Strategic sentiments and emotions in post-Second World War party manifestos in Finland
Patterns of stability in complex contagions
Predicting the probability of finding missing older adults based on machine learning
SME crisis management and performance: leveraging algorithm supported induction to unravel complexity
Detecting toxic comments on social media: an extensive evaluation of machine learning techniques
An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables
Predicting applicable law sections from judicial case reports using legislative text analysis with machine learning
Bridging of different sites by bohemians and tourists: analysis by agent-based simulation
Forecasting executive approval with social media data: opportunities, challenges and limitations
Improving homeless service assignment outcomes
From neuroscience to computer science: a topical approach on Twitter
Applying unsupervised machine learning to counterterrorism
Evaluating tenant-landlord tensions using generative AI on online tenant forums
Integrating human and machine coding to measure political issues in ethnic newspaper articles
Towards fair AI: a review of bias and fairness in machine intelligence
Reputation systems and recruitment in online labor markets: insights from an agent-based model
Identity diversification and homogenization: evidence from frequent estimates of similarity of self-authored, self-descriptive text
Exploring the disparity of influence between users in the discussion of Brexit on Twitter: Twitter influence disparity in Brexit If so, write it here
Cognitive perspectives on opinion dynamics: the role of knowledge in consensus formation, opinion divergence, and group polarization
A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic
Use of brain-computer interface in educational paradigm
An exploratory analysis of COVID bot vs human disinformation dissemination stemming from the Disinformation Dozen on Telegram
Polarized collaboration benefits knowledge production: empirical analyses of the mediating effect of co-production pattern in Wikipedia articles on climate change
Pairwise similarity of jihadist groups in target and weapon transitions
A computational algorithm to analyze unobserved sequential reactions of the central banks: inference on complex lead-lag relationship in evolution of policy stances
Hostility on Twitter in the aftermath of terror attacks
What race and gender stand for: using Markov blankets to identify constitutive and mediating relationships
Statistical analysis of effective COVID-19 government response policies: insights from pre-omicron pandemic data
Social influence dynamics for image segmentation: a novel pixel interaction approach
Planning for the urban future: two-level spatial analysis to discover 15-Minute City potential in urban area and expansion in Tallinn, Estonia
Pulling through together: social media response trajectories in disaster-stricken communities
Two sides of the same leader: an agent-based model to analyze the effect of ambivalent opinion leaders in social networks
Linguistic, cultural, and narrative capital: computational and human readings of transfer admissions essays
Between news and history: identifying networked topics of collective attention on Wikipedia
Individual differences in escalation of commitment: a multi-level adaptive learning perspective
Preference and neglect amongst countries in the Eurovision Song Contest
Is from ought? A comparison of unsupervised methods for structuring values-based wisdom-of-crowds estimates
Uncovering hidden alliances in organized crime networks with machine learning: from node similarity to graph neural networks
Fast meta-analytic approximations for relational event models: applications to data streams and multilevel data
Users roles identification on online crowdsourced Q&A platforms and encyclopedias: a survey
Correction: Patterns of stability in complex contagions
Simulating language knowledge across the EU: language regimes, language learning and consequences for linguistic disenfranchisement
Machine learning techniques with fairness for prediction of completion of drug and alcohol rehabilitation
The impact of depression forums on illness narratives: a comprehensive NLP analysis of socialization in e-mental health communities
We know who we are: expressing national identity on YouTube video comments
Coherence and polarization in complex networks
Predicting perceived ethnicity with data on personal names in Russia
Digital intermediaries in pandemic times: social media and the role of bots in communicating emotions and stress about Coronavirus
Mapping the (anti-)corruption field: key topics and changing trends, 1968-2020
"Even I believed it! How is it possible?" The disinformation exam of journalists in the AI age: fuzzy logical approach
Exploring statistical approaches for predicting student dropout in education: a systematic review and meta-analysis
Controversial information spreads faster and further than non-controversial information in Reddit
Burstiness of human physical activities and their characterisation
Multi-opinion based method for quantifying polarization on social networks
Understanding conversations on alcohol across diverse Reddit communities: a computational analysis
Modeling resilience and survivability as stochastic processes with techno-human-economic systems under stress
Propositional claim detection: a task and dataset for the classification of claims to truth
Enumeration and sampling analysis of Montana's 2020 congressional redistricting map
Estimation of socioeconomic attributes from location information
A systematic review of AI-based feedback in educational settings
The role of space and place in social media communication: two case studies of policy perspectives
Domain-based user embedding for competing events on social media
Analyzing Twitter networks using graph embeddings: an application to the British case
Combining Twitter and mobile phone data to observe border-rush: the Turkish-European border opening
Tracking moral divergence with DDR in presidential debates over 60 years
Bluesky as a social media data source for disaster management: investigating spatio-temporal, semantic and emotional patterns for floods and wildfires
Mapping the landscape of blockchain technology: a bibliometric analysis
Macroscopic fundamental diagram in simple street networks
A deep learning framework for clickbait spoiler generation and type identification
A model-based boosting approach to risk factors for physical intimate partner violence against women and girls in Mexico
Impact of arbitrage trading between an ETF and its underlying assets on market liquidity of their markets using an agent-based simulation
Exploratory and explanationory features in data storytelling: untangling the interplay and associations with linearity, interactivity, and structure
A network view on reliability: using machine learning to understand how we assess news websites
Roadmap and research issues of multiagent social simulation using high-performance computing
A tale of four cities: Exploring security through environmental characteristics of CCTV equipment placement
Evaluating algorithmic homeless service allocation
A study of the effect of influential spreaders on the different sectors of Indian market and a few foreign markets: a complex networks perspective
The global migration network of sex-workers
Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Machine learning framework for country image analysis
Fooled by facts: quantifying anchoring bias through a large-scale experiment
A normative approach to radicalization in social networks
Flood of techniques and drought of theories: emotion mining in disasters
Flexible imitation suppresses epidemics through better vaccination
Group-specific behavior change following terror attacks
Visualization of a directed network with focus on its hierarchy and circularity
Model of cognitive dynamics predicts performance on standardized tests
Content and interaction-based mapping of Reddit posts related to information security
The face of populism: examining differences in facial emotional expressions of political leaders using machine learning
Deduplication of the media-based event databases