Abstract
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long time scales, as well as abrupt spikes in the appearance of particular named entities. However, these approaches are less well suited to the identification of content that spreads widely and then fades over time scales on the order of days - the time scale at which we perceive news and events.
Keywords
Tracking (education)Computer scienceDynamics (music)Identification (biology)Scale (ratio)Data scienceArtificial intelligenceCartographySociologyGeography
Affiliated Institutions
Related Publications
The spread of true and false news online
Lies spread faster than the truth There is worldwide concern over false news and the possibility that it can influence political, economic, and social well-being. To understand ...
Rumor Cascades
Online social networks provide a rich substrate for rumor propagation. Information received via friends tends to be trusted, and online social networks allow individuals to tran...
Tracing information flow on a global scale using Internet chain-letter data
Although information, news, and opinions continuously circulate in the worldwide social network, the actual mechanics of how any single piece of information spreads on a global ...
TIGRFAMs: a protein family resource for the functional identification of proteins
TIGRFAMs is a collection of protein families featuring curated multiple sequence alignments, hidden Markov models and associated information designed to support the automated fu...
On the large-eddy simulation of transitional wall-bounded flows
The structure of the subgrid-scale fields in plane channel flow has been studied at various stages of the transition process to turbulence. The residual stress and subgrid-scale...
Publication Info
- Year
- 2009
- Type
- article
- Pages
- 497-506
- Citations
- 1545
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
1545
OpenAlex
Cite This
Jure Leskovec,
Lars Bäckström,
Jon Kleinberg
(2009).
Meme-tracking and the dynamics of the news cycle.
, 497-506.
https://doi.org/10.1145/1557019.1557077
Identifiers
- DOI
- 10.1145/1557019.1557077