Social Informatics

Viral Memetrics

Description

This workshop focuses on analyzing and understanding both the quantitative and qualitative spread of derivative ideas. Of particular interest are linguistic memes such as memorable quotations and variants thereof, unique hashtags and phrases, visual memes and their variants, and identifiable elements of viral videos. Another core focus is the tracking and prediction of viral spread and the identification of derivative works. The target audience includes social scientists specializing in computer-mediated communications, network scientists, computational linguists, and researchers in the psychology of visual and audiovisual media.

Active research areas that are relevant to viral memes include:

• Predictive analytics of viral sharing of content
• Tracing the origin, provenance, and modification of viral material
• Understanding the inductive causes of virality, deliberate and intrinsic (cf. Kleinberg)
• Community detection and formation modeling using the spread of viral content
• Viral marketing
• Modeling of link types and relationship strength
• Path-based similarity measures and relationship extraction
• Applications to modeling of weblogs, social media, social networks, and the semantic web

The emphasis of this workshop shall be approaches based on analysis of viral content and spread from sources including but not limited to social media, social news, collaboration networks, and document collections.

Application areas that often exhibit a need for viral memetic analysis include:

• Trends: trending topics in social media; hype index; communities, networks, and wikis (e.g., in education research)
• Internet humor: viral images, memes (cf. Know Your Meme)
• Online political communications: opinion, position, or campaign memes, lampoons
• Marketing and social recommender systems: communities, experts, friends, products, reviewers, providers
• Information diffusion and sharing systems: social media (opinions and sentiments, meme propagation, viral content, political commentary, etc.)
• Other behavioral modeling: community dynamics, recruitment and mass activity, large-scale patterns, traffic, spatiotemporal effects
• Application areas: social informatics of meme adaptation, public service announcements, cybersecurity (PSAs, anthropological aspects of security, trust networks)

Intended Audience and Impact

We welcome paper submissions from researchers in all areas of the study of memes and viral informatics listed in the above section describing the workshop scope. We also hope to attract SocInfo participants from industrial R&D with interesting current applications that showcase aspects of heterogeneity in social and other networks.

This workshop shall help to bring together people from these different areas and present an opportunity for researchers and practitioners to share new techniques for identifying and analyzing relationships in networks that integrate multiple types or sources of information. We also propose to coordinate with research communities in related areas of specialization such as social influence, trending topics, community detection, and heterogeneous information network analysis to find opportunities for cross-fertilization and interdisciplinary collaboration.

Relevant media include but are not limited to, forums, blogs, and systems such as Twitter, YouTube, Facebook, Pinterest, Tumblr, Snapchat, Google+, LinkedIn, etc. Of particular interest are descriptive metadata, content admitting audiovisual analysis (including deep learning for action or event recognition, sentiment analysis, etc., in images and video), spatiotemporal and network traffic statistics, tracking mechanisms, and forensic (e.g., stylographic) analysis of content modification. However, the scope is not limited to any particular approach to link analysis or any source of viral meme information such as image or text corpora.

Last updated by pozegov on Jul 20, 2023