Only the Title is Read: Information Ceiling

It is the limit of the model and the rule engine looking only at the title of the news, not the full text of the news, while doing their analysis.

The machine learning model and rule engine on your device do not analyze the content of the news. Since the system makes its decisions by focusing solely on the news headline, details not clearly reflected in the headline cannot be measured and included in the score. This design makes it impossible to detect the fine details or context carried in the body text.

Example: The system being able to mark it as low quality if the headline is inadequate, even if the text of the news is highly detailed.

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Many publishers throw the headline in a provocative way, hiding the actual information inside the text so that the reader clicks on the news. MagPunk reading only the title is a conscious limitation. Analyzing the full text of every single news item on your device rapidly consumes your hardware resources and creates a serious data processing load by going beyond the offline 60-word summary panel. The system measures the headline, which is the publisher’s first promise to the reader; the rest is left to the user’s own deduction.