It refers to a set of instructions or plans based on data analysis and oriented to specific goals based on specific and precise logical operations and implemented using computer programs. As an information technology with wide application and connectivity, algorithm application fields include GPS route planning, content recommendation, attribute matching and disease prediction, etc.

The application of algorithms in the field of news dissemination has broken the traditional news production and dissemination model. Algorithmic news, characterized by algorithm leadership, data support, and autonomous operation, is penetrating into the entire process of news production and dissemination.

By tracking users' online behavior, algorithms are used to calculate personal characteristics, environmental characteristics and other relevant information, and from this, we can infer the content that users may like.

The algorithm needs to understand and match three characteristics

News Concept: From “Content is King” to “User First”

News gathering and editing: from “news value” to “user interest”

News push: from traditional “unified push” to “personalized push”

News talents: from "acquisition and writing talents" to "all-round technical talents"

News Market: From "Uniform Market" to "Niche Market"

The contradiction between algorithm recommendation and user privacy leakage

Algorithmic recommendation will lead to the emergence of information cocoons. Users will only accept information that conforms to their own preferences, further strengthening their original inherent preferences, alienating opportunities for collision with other information, and breaking away from social information and experience sharing.

The Balkan effect of the Internet is prominent. Users only receive information that they are interested in, and exclude information that they are not interested in from the information receiving network. Groups with the same interests gather together, forming thick barriers between these interest groups and another group. , over time, society was divided into small compartments, which greatly weakened the functions of the group.

Network groups are polarized. Due to the information cocoon and the Balkan effect of the network, the opportunities for group members to communicate with the outside world are greatly reduced, and the homogeneous characteristics within the group are obvious. There is a tendency for these groups to develop to the extremes of the group. Insults they use against other people or groups who disagree with them

In the attention economy, algorithmic platforms take full advantage of human nature’s curiosity and laziness to push vulgar and entertaining news. Long-tail content that requires users to pay learning costs or high quality is often not welcomed. Gradually, Being marginalized, eventually leading to the lack of headlines about expulsion of good money, the truth behind the party, and endless news

Platform social responsibility at the technical level

Legal policy ethics at the institutional level

User algorithm literacy at the social level

positive influence

negative impacts

Performance

feature