Creating an Effective Landing Page for Generation

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It was then a question of rethinking the reader's user journey and offering them an experience adapted to their uses - supposedly . In 2015, Méta-Média already published a certain number of recommendations relating to the personalization of information . Today, media outlets abound in personalized formats or content: such as the New York Times Weekly Edition newsletter or the “For You” tab. Apple News also offers content tailored to its topics of interest and the French-language Flint application is also part of this segment. But this trend may have had difficulty attracting readers. This personalization movement has not necessarily had the expected echo among readers.



The arrival and development of infotainment – ​​a descriptive iran phone number library analysis of which can be found here – has led to a movement of hybridization of formats and content that has sometimes blurred the message of news and information. Not everything can be transposed to short video formats and not everything should be sought to be transposable – under penalty of outbidding the existing information fatigue and reversing the editorial relationship with the platforms. The strategies that may have led certain media to over-adapt may have had consequences on their economic model – like the video pivot in 2021 – which notably affected Vice, which will also draw its “final clap” at the end of March 2023 in France.



Is information consumed like entertainment or music. The use of intelligent algorithms to generate personalized information content can also raise questions: is information consumed like entertainment or music. Especially since this operation of learning recommendations can create the famous filter bubbles, echo chambers defined as follows by the CNIL : A phenomenon mainly observed on social networks where recommendation algorithms – which for example feed news feeds with publications likely to interest users – can sometimes only offer similar content. This phenomenon occurs when an algorithm is set to only offer results corresponding to a user's known tastes, it will then never go outside known categories.