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For those of you who rely on MSN as a “source”
Posted on: June 20, 2025 at 06:36:53 CT
KCT-BoneTiger MU
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This is what they do as a news aggregate, as do any social media such as facebat or X.
Why are you seeing what you are seeing? And for those saying, “well I see stuff I disagree with” that’s the point. They (facebat or X or MSN, etc) are showing you stuff you hate because you engage with it (or enjoy engaging with it).
So for those relying on social media as a source or anything algorithm based, it’s same thing. Anyone can say anything and your algorithm picks up what you like to engage with and you see it. The majority of people don’t see what you see because they aren’t engaged. Therefore people can start posting whatever they want, regardless if true or fact checked, and it makes it your daily feed. If you gobble their opinion pieces up as what you should think based on their words, that is up to you to decide.
MSN for you and your algorithm
How MSN ranks content
MSN publishes news stories, photo galleries, and videos from thousands of publishers globally and promotes this content across Microsoft products, including Microsoft Edge, Microsoft Windows, MSN.com, and the MSN mobile app.
Each time a consumer views the MSN feed, it refreshes with the latest personalized content. Based on various signals, algorithms select and order content in the feed with editorial oversight. This ranking content system is designed to engage and inform, choosing stories that are the most relevant to each person, while also ensuring the content is timely, newsworthy, high-quality, and safe for work and home.
The relative importance of these parameters may vary each time a news feed is viewed by a user. The algorithms are always evolving as we continually identify and improve signals and experiment with new features.
User relevance
Microsoft delivers every consumer a personalized news feed to meet each person’s unique set of interests and preferences for content. At the core of this personalization are algorithms that match user preferences with document understanding. These algorithms are designed to select the most relevant content for each user.
A user’s preferences are learned over time by the system through two approaches:
Explicit personalization. The algorithm respects how users manually configure their settings, including actions like following certain topics, liking or disliking specific content, or indicating a publisher preference.
Implicit personalization. In compliance with a user’s privacy settings, as a person reads content and engages with Microsoft’s products, the stories are analyzed for patterns to better understand the user’s preferences. The algorithms look both for long-term and short-term patterns for each user, acknowledging that content interests may vary in the short term, while exhibiting different long-term tendencies. (Read more about Microsoft Privacy here)
Machine-learning algorithms drive deep document understanding beyond simply recognizing ‘topics’: The system performs analysis on each document to get insights based on text and metadata and converts the content into a mathematical model.
http://helpcenter.msn.com/kb/articles/77-content-ranking
Edited by KCT-BoneTiger at 06:58:08 on 06/20/25
Why are you seeing what you are seeing? And for those saying, “well I see stuff I disagree with” that’s the point. They (facebat or X or MSN, etc) are showing you stuff you hate because you engage with it (or enjoy engaging with it).
So for those relying on social media as a source or anything algorithm based, it’s same thing. Anyone can say anything and your algorithm picks up what you like to engage with and you see it. The majority of people don’t see what you see because they aren’t engaged. Therefore people can start posting whatever they want, regardless if true or fact checked, and it makes it your daily feed. If you gobble their opinion pieces up as what you should think based on their words, that is up to you to decide.
MSN for you and your algorithm
How MSN ranks content
MSN publishes news stories, photo galleries, and videos from thousands of publishers globally and promotes this content across Microsoft products, including Microsoft Edge, Microsoft Windows, MSN.com, and the MSN mobile app.
Each time a consumer views the MSN feed, it refreshes with the latest personalized content. Based on various signals, algorithms select and order content in the feed with editorial oversight. This ranking content system is designed to engage and inform, choosing stories that are the most relevant to each person, while also ensuring the content is timely, newsworthy, high-quality, and safe for work and home.
The relative importance of these parameters may vary each time a news feed is viewed by a user. The algorithms are always evolving as we continually identify and improve signals and experiment with new features.
User relevance
Microsoft delivers every consumer a personalized news feed to meet each person’s unique set of interests and preferences for content. At the core of this personalization are algorithms that match user preferences with document understanding. These algorithms are designed to select the most relevant content for each user.
A user’s preferences are learned over time by the system through two approaches:
Explicit personalization. The algorithm respects how users manually configure their settings, including actions like following certain topics, liking or disliking specific content, or indicating a publisher preference.
Implicit personalization. In compliance with a user’s privacy settings, as a person reads content and engages with Microsoft’s products, the stories are analyzed for patterns to better understand the user’s preferences. The algorithms look both for long-term and short-term patterns for each user, acknowledging that content interests may vary in the short term, while exhibiting different long-term tendencies. (Read more about Microsoft Privacy here)
Machine-learning algorithms drive deep document understanding beyond simply recognizing ‘topics’: The system performs analysis on each document to get insights based on text and metadata and converts the content into a mathematical model.
http://helpcenter.msn.com/kb/articles/77-content-ranking
Edited by KCT-BoneTiger at 06:58:08 on 06/20/25
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For those of you who rely on MSN as a “source” - KCT-BoneTiger MU - 6/20 06:36:53