{"doi":"10.4324/9781003173427-3","title":"From Big to Democratic Data","abstract":"Digital technologies and their processing of data have transformed our cultural, social and working lives through expansive digital connections and networks, allowing us to undertake social, cultural and economic transactions that shape global and local communities. This digital space is a sphere in which users interact, thereby creating data, which is then collected and analyzed shaping their societal possibilities through recommendations or algorithmic decision-making. Yet, paradoxically, in spite of the ubiquitous reach of our digital condition, the political force within data shaping our societies is only in parts understood. One reason for this is that the notion of \"big data\" at the beginning of the 21st century has been conceptualized by businesses and for the business world, as Puschmann and Burgess (2014) have shown. Given the significance of data in our public and everyday lives, many find the strong, confining link between data and business alarming; this is even more so, since data has gained societal and political importance through further technical developments in areas such as artificial intelligence (AI). As we will show in this text, recent advances in AI, particularly in the area of machine learning (ML; in which systems are trained on huge datasets), have opened up new possibilities for data analysis that have further strengthened the societal role of data in our political and social lives. This is why data needs to be understood more than ever not just as an economic opportunity but also as a democratic frontier.","journal":null,"year":2022,"id":292320,"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":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9225,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":976460,"name":"Photini Vrikki","orcid":"0000-0002-1007-3292","position":1,"is_corresponding":false},{"id":976459,"name":"Mercedes Bunz","orcid":"0000-0003-2876-0522","position":0,"is_corresponding":true}],"reference_count":55,"raw_metadata":null,"created_at":"2026-07-19T00:30:46.209549Z","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":[]}