The content outlines a workflow named “Detect Pro/Contra Narratives,” which automates the analysis of narratives from RSS feed data. It involves multiple nodes connected to various actions, including reading RSS feeds, extracting information using JavaScript code, and sending alerts through Gmail. The workflow begins with an RSS Feed Trigger that polls new entries hourly and captures relevant metadata (title, content snippet, URL).
The extracted HTML content is cleaned to remove unnecessary elements, and a payload is prepared for analysis. Votes are gathered from the extracted content, and the results are aggregated to determine the proportion of pro, contra, and neutral narratives. Notifications are triggered based on the results, indicating either a pro-narrative or contra-narrative if votes exceed thresholds. The entire process is designed to streamline information gathering and analysis, allowing for timely alerts based on public sentiment expressed through narratives.
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