The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams
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Abstract (arXiv)
We study how collective memories are formed online. We do so by tracking entities that emerge in public discourse, that is, in online text streams such as social media and news streams, before they are incorporated into Wikipedia, which, we argue, can be viewed as an online place for collective memory. By tracking how entities emerge in public discourse, i.e., the temporal patterns between their first mention in online text streams and subsequent incorporation into collective memory, we gain insights into how the collective remembrance process happens online. Specifically, we analyze nearly 80,000 entities as they emerge in online text streams before they are incorporated into Wikipedia. The online text streams we use for our analysis comprise of social media and news streams, and span over 579 million documents in a timespan of 18 months. We discover two main emergence patterns: entities that emerge in a "bursty" fashion, i.e., that appear in public discourse without a precedent, blast into activity and transition into collective memory. Other entities display a "delayed" pattern, where they appear in public discourse, experience a period of inactivity, and then resurface before transitioning into our cultural collective memory.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jan 2017.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 3.
5 papers.
- 2024Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspectivecited by 15
- 2024CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Taskscited by 9
- 2024Synthetic Query Generation using Large Language Models for Virtual Assistantscited by 9
- 2022Early Discovery of Emerging Entities in Persian Twitter with Semantic Similaritycited by 1
- 2021Entities of Interestcited by 0
- 2024Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective9 Jul 2024
- 2024Synthetic Query Generation using Large Language Models for Virtual Assistants10 Jun 2024
- 2024CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks26 Feb 2024
- 2022Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity6 Jul 2022
- 2021Entities of Interest22 Feb 2021