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Filtering by: Creator Panda, Anmol Remove constraint Creator: Panda, Anmol Keyword news media; paywalls; causal inference Remove constraint Keyword: news media; paywalls; causal inference

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  • Supplemental Data for PNAS Nexus paper titled "How Digital Paywalls Shape News Coverage"

    work
    Creator:
    Dhillon, Paramveer, Panda, Anmol, and Hemphill, Libby
    Description:
    The internet has significantly transformed how news is produced, consumed, and distributed. As a result, the news industry has transitioned from ad-supported to subscription-based models regulated by digital paywalls. In light of this disruption, it’s crucial to investigate not only how news consumers adapt to this change but also how economic incentives shape content coverage. We analyzed the staggered adoption of digital paywalls by 17 regional U.S. newspapers over 17 years in a difference-in-difference framework to examine the impact of paywall adoption on topical news content coverage. Our results reveal a small but significant decrease in local and soft news coverage, with varying effects across different urban contexts. Specifically, local news coverage experienced a more substantial decline in smaller cities (population < 500,000) and regions experiencing an influx of younger residents (age < 40 years). Conversely, soft news coverage increased in areas with a younger demographic influx, indicating a strategic shift by newspapers to cater to digital-savvy audiences and adapt to changing consumption patterns. Our findings underscore the delicate balance between financial imperatives and editorial choices in the newspaper industry and highlight the need for ongoing research into the effects of digital monetization strategies on journalistic content creation, media plurality, and civic accountability.
    Keyword:
    news media; paywalls; causal inference
    Discipline:
    Social Sciences