{"doi":"10.7551/mitpress/15532.003.0016","title":"Geolocation-Centric Monitoring and Characterization of Social Media Chatter for Public Health","abstract":"The adoption of social media is currently at an all-time high.More than half of the world has access to social media.The large-scale adoption and growth of social media have demonstrated the benefi ts and drawbacks of human activities over such platforms.As the digital footprint of human behavior via social media platforms continues to evolve, it is essential to identify strategies and execute actions that can utilize the data generated for the benefi t of humankind.Since most of the human footprint on social media is in the form of free text, the fi eld of natural language processing holds substantial promise in converting such data into valuable and actionable knowledge.Geolocation-related metadata available with or inferred from social media posts enable knowledge to be aggregated at various spatiotemporal granularities.Fine-grained area-level insights about human behavior can, for instance, be obtained through social media-based surveillance in close to real time.Geolocation-specifi c statistics derived from social media data may also be combined with other area-level data from more traditional sources to obtain comprehensive knowledge on chosen topics.Following a brief introduction to social media and natural language processing, the utility of social media data, particularly when combined with geolocation-based information, is discussed.Two examples-COVID-19 and substance use-are used as case studies.","journal":"The MIT Press eBooks","year":2024,"id":500636,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9546,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":96345,"name":"Abeed Sarker","orcid":"0000-0001-7358-544X","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:10:08.435215Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}