Syndicated Content

Also known as: wire copy, republished content, syndication, 转载.

Material produced once and published by many outlets, such as a news-agency story. Counting every publication overstates how many independent sources reported something.

Synthetic dataExamples on this page use synthetic data created for illustration.

Definition

Syndicated content is material produced once and published by many outlets, such as a news-agency story run by dozens of newspapers. Counting each publication as a separate mention inflates volume and overstates how many independent sources reported something.

In plain terms

News agencies supply copy that outlets publish unchanged or lightly edited, often with a credit line. Some websites republish whole articles from others. For readers this spreads a story widely; for analysis it creates two different quantities that must not be mixed: exposure (how many places carried it) and independence (how many separate reporters or sources stand behind it).

Group the copies into one cluster (see Near-duplicate Detection), count the cluster as one story, and keep the number of outlets as a separate figure. Many sites also mark the original with a canonical link, which helps to find it.

Example

One agency story is carried by 40 outlets, and 5 other outlets report the event independently.

Way of countingNumber
Mentions (every publication)45
Stories (after grouping copies)6
Independent sources of reporting6 (the agency and the five others)
Outlets reached45

“45 outlets reported it” is true of exposure; “six sources reported it” is true of confirmation.

Common misunderstandings

  • “More outlets means more confirmation.” Copies of one report share a single source and add no independent check.
  • “Copies are worthless to count.” They matter for how widely something was seen, if kept as a separate measure.
  • “A lightly edited copy is an independent report.” If the facts and wording come from the original, it is a copy.

References

  1. Consolidate duplicate URLs . Google Search Central.
  2. Jan Boumans, Damian Trilling. Taking Stock of the Toolkit: An Overview of Relevant Automated Content Analysis Approaches and Techniques for Digital Journalism Scholars . Digital Journalism, 2016. DOI: 10.1080/21670811.2015.1096598