This article is relevant only for our News API
The "syndicated" filter in Webz.io’s News API allows users to filter for syndicated content by setting syndicate:true. Syndicated content refers to articles or posts that are highly similar or duplicated across multiple sites or sources, grouped together as "clusters" based on similarity. This clustering is determined using the SIMHash algorithm, which identifies similar content by analyzing key text features. Here’s how the syndicated filter can be useful across different scenarios:
- Identifying Widely Distributed News: Syndicated content often includes news stories distributed across multiple outlets. By filtering for syndicated articles, users can track stories that have been widely circulated, indicating topics of broad interest or major importance.
- Avoiding Duplicate Content in Analysis: For researchers and analysts, filtering out syndicated content helps prevent duplicates from skewing analysis results. By focusing on unique content, they can gain more accurate insights into diverse perspectives rather than repeatedly analyzing the same information.
- Monitoring Media Reach and Distribution: PR teams can use the syndicated filter to track how often a particular story or press release is republished across different outlets. This helps gauge the distribution reach and effectiveness of PR campaigns, as well as identify top outlets for media coverage.
- Improving Content Curation: News aggregators or content platforms can use the syndicated filter to streamline their feeds, avoiding duplicate stories and ensuring only unique, original content is displayed. This creates a more engaging and varied experience for readers.
- Comparing Syndicated vs. Original Content: Users can toggle between syndicated and original content to understand how topics are covered by different sources. This helps assess differences in content presentation and tone, and reveals if certain angles or additions are unique to specific outlets.
- Tracking Story Amplification Across Sites: By analyzing syndicated content clusters, businesses can monitor how quickly and widely certain stories spread. This is valuable for tracking viral news, understanding content amplification patterns, and identifying sources that frequently syndicate important stories.
- Efficiently Aggregating Content for Media Monitoring: Media monitoring platforms can aggregate syndicated articles under a single cluster, simplifying reporting by showing the primary story and its distribution rather than individual duplicates. This is particularly useful for busy topics, where the same story might appear across many outlets.
- Analyzing Coverage Impact in Crisis Management: During a crisis, companies can use the syndicated filter to track widespread coverage of sensitive events or incidents. This helps gauge how widely the story has spread, allowing for better-informed response strategies based on the scale of media reach.
By leveraging the syndicated filter, users can tailor their searches to include or exclude duplicate content, improving analysis, reporting, and content curation efforts. This filter is ideal for those seeking to understand the reach of widely distributed stories or who wish to streamline their data to focus on unique content.
Example Query: syndication.syndicated:false site_type:news
This filters out content that has been syndicated, meaning it removes articles or content that is republished or redistributed from other sources. Only original content (non-syndicated) will be included in the results.