internet advertising: challenges and opportunities

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regulatory challenges: the traditional advertising supervision model faces huge challenges. on the one hand, the continuous advancement of advertising technology, personalization and concealment have further increased the variability of advertising content, making it more difficult for management departments to identify advertisements. on the other hand, it is difficult to define the boundaries of advertising responsibility, resulting in reduced supervision efficiency and even causing regulatory measures to lag behind market development.

artificial intelligence helps: with the rapid development of artificial intelligence technology, it is possible to automatically detect and mark advertising content and improve regulatory efficiency and accuracy. machine learning, deep learning and other technologies can help regulatory authorities identify advertising content and classify it effectively. in addition, big data analysis technology also provides regulatory authorities with a new perspective, helping them better understand market trends and formulate more accurate regulatory policies.

platform responsibility and self-discipline: as the main channel for advertising, platforms also need to strengthen their sense of responsibility and strictly implement relevant regulations. while strictly reviewing the content of advertisements, they need to work closely with regulatory authorities, provide necessary data support, and actively guide industry associations to formulate self-discipline norms, requiring companies and related entities to operate with integrity. at the same time, users are encouraged to participate in supervision and feedback to jointly promote internet advertising governance.

build a healthy and orderly network ecology: management norms, technology empowerment, industry self-discipline and public participation are key links for mutual complementation and common development. only through comprehensive efforts can we form a more accurate and efficient regulatory network and build a healthier and more orderly network ecosystem.