Why Does Attention to Web Articles Fall With Time?

Area of Science:

• Digital media analytics
• Information science
• Web analytics

Background:

• Understanding user engagement with online content is crucial.
• Previous models of content decay have focused on novelty or complex human dynamics.

Purpose of the Study:

• To analyze the decay patterns of web article access statistics.
• To identify the primary drivers behind the decline in content attention over time.

Main Methods:

• Analysis of access statistics for 150 blog entries and news articles.
• Statistical modeling to identify power law relationships.
• Comparison of proposed decay explanations against empirical data.

Main Results:

• Web article access rates follow an inverse power law decay with time, holding up to 1,000 days.
• Decay exponents vary across different platforms, ranging from 0.6 to 3.2.
• Visibility reduction on website front pages is the most plausible explanation for attention decay.

Conclusions:

• The "visibility decay" model effectively explains observed content access patterns.
• Novelty-based or complex human dynamics theories are insufficient to account for the data.
• This research provides a quantitative understanding of online content longevity.