{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/the-birth-of-collective-memories-analyzing","title":"The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams","arxiv_id":"1701.04039","date":"2017-01-15","proceeding":null,"authors":["David Graus","Daan Odijk","Maarten de Rijke"],"abstract":"We study how collective memories are formed online. We do so by tracking\nentities that emerge in public discourse, that is, in online text streams such\nas social media and news streams, before they are incorporated into Wikipedia,\nwhich, we argue, can be viewed as an online place for collective memory. By\ntracking how entities emerge in public discourse, i.e., the temporal patterns\nbetween their first mention in online text streams and subsequent incorporation\ninto collective memory, we gain insights into how the collective remembrance\nprocess happens online. Specifically, we analyze nearly 80,000 entities as they\nemerge in online text streams before they are incorporated into Wikipedia. The\nonline text streams we use for our analysis comprise of social media and news\nstreams, and span over 579 million documents in a timespan of 18 months. We\ndiscover two main emergence patterns: entities that emerge in a \"bursty\"\nfashion, i.e., that appear in public discourse without a precedent, blast into\nactivity and transition into collective memory. Other entities display a\n\"delayed\" pattern, where they appear in public discourse, experience a period\nof inactivity, and then resurface before transitioning into our cultural\ncollective memory.","url_abs":"http://arxiv.org/abs/1701.04039v2","url_pdf":"http://arxiv.org/pdf/1701.04039v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"the-birth-of-collective-memories-analyzing","repo_url":"https://github.com/graus/emerging-entities-timeseries","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"fakbat","name":"FAKBAT","full_name":null}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}