The Social Media Era Of News Is Over — With Ben Smith

Episode Summary

Executive Summary: Ben Smith argues that the social-media era of news is ending: Facebook has largely exited news, Twitter no longer reliably surfaces current events, and audiences are moving toward newsletters, podcasts, the web, and selective video. He describes Semaphore as a transparent, cross-platform news product built to break news and curate context for influential readers, while also reflecting on AI, Twitter/X, the lab-leak debate, and the 2024 election.

Main Topics: The end of the social-media age in news (Priority: 5/5): Smith says the news ecosystem has moved away from dependence on Facebook and Twitter as primary distribution channels. He argues platforms and users both turned away from mixing news, emotion, and entertainment in the same feed. Semaphore’s editorial and distribution strategy (Priority: 5/5): Semaphore is positioned as a transparent, globally oriented newsroom that uses newsletters, the web, podcasts, events, and some video rather than relying on one dominant platform. Smith emphasizes breaking news plus curated links and context. Newsletter, podcast, and web as durable formats (Priority: 4/5): Smith and the host discuss why newsletters and podcasts provide a more structured, finishable, audience-driven alternative to algorithmic feeds. They see text as especially strong for dense information and nuance. Social platforms, incentives, and audience behavior (Priority: 4/5): They debate whether platforms or consumers changed first. Smith notes that Facebook metrics still showed engagement even as users publicly rejected news on social media, illustrating the gap between expressed preferences and actual behavior. AI and journalism use cases (Priority: 3/5): Smith is skeptical that chatbots will replace reporting, but sees practical uses in writing, translation, SEO-style content, and assistive drafting. He says AI’s strongest fit is language production, not original news gathering. Twitter/X, moderation, and the public square (Priority: 4/5): Smith argues Twitter has lost relevance as a universal news utility and criticizes Elon Musk’s changes, especially amplifying his own posts. He also reflects on moderation, misinformation, and the limits of one company governing global speech. 2024 election, lab leak, and the limits of media consensus (Priority: 3/5): Smith says Trump remains the likely Republican nominee and that media wishful thinking about his fading is misguided. He also revisits the lab-leak debate, arguing that tribalism distorted coverage and that open-source investigators played an outsized role.

Key Arguments: Facebook’s retreat from news and Twitter’s degraded utility have ended the social-media-driven news distribution model that defined the mid-2010s. Consumers and platforms both contributed to the shift: people said they wanted less news-on-social, while engagement data often showed they still clicked and shared it. Semaphore’s advantage is not being a generic newsletter company but a multi-format newsroom using newsletters, the web, podcasts, and events to deliver transparency and context. Breaking original news remains the strongest distribution strategy because truly new information travels across platforms regardless of format. Text remains underrated for communicating dense, nuanced information better than video or audio alone. AI will be most useful for language-centric tasks such as drafting, translation, and content adaptation, but it will not do the reporting itself. Twitter/X no longer functions as the world’s news wire; it increasingly reflects Elon Musk’s interests and a narrower set of conversations. The lab-leak story shows how political tribalism and overconfidence in institutional judgments can distort media coverage, especially when evidence is incomplete. Trump should be treated as the likely GOP nominee because media hopes that he will simply fade are wishful thinking.

Data Points: Apple tech news chart position: Top 15 over the past month - Smith says Big Technology Podcast has remained in the top 15 on Apple’s tech news charts. Lifetime downloads goal: 1 million - Smith says the podcast may hit a million lifetime downloads within about a month. Audience scope: 200 million English speakers - Smith recalls Semaphore’s original ambition to reach 200 million people who speak English. Talk length: About 50–60 minutes / one hour - They discuss podcast format and how it enables deeper nuance than shorter written pieces. Timing reference: 2012–2016 - Smith identifies this period as the peak era when social media was central to news consumption. Change point: After 2016 - He marks 2016 as the hinge after which consumer attitudes toward social-media news soured. Platform reach example: A couple million people - Smith cites a Semaphore/TikTok video about building collapses in Turkey that drew a couple million views. Business event timing: April - Semaphore’s World Economy Summit is scheduled for April on the sidelines of the IMF/World Bank meeting. Conference partnership: Gallup - Smith says Semaphore is a close partner with Gallup for events and data collaboration. Geographic expansion: U.S. and Africa already launched - Smith says Semaphore launched in the U.S. and Africa and plans responsible expansion to other markets.

Pivotal Quotes: "we are seeing in the end, this whole social media age in news" — Ben Smith: Smith’s core thesis about the decline of social platforms as primary news distribution channels. "Twitter in its… I don't know. I think the notion that Twitter could sort of be a permanent global public square was already really falling apart" — Ben Smith: His view that Twitter/X no longer serves as the global public square for news and speech. "The thing that they are good at is language. The thing you can use them for is language." — Ben Smith: His summary of AI’s practical strengths for journalism and media work.

Implications: News organizations should diversify beyond social feeds, invest in original reporting and curation, and treat newsletters/podcasts/web as core channels. For readers, the priority becomes seeking context and source transparency, not relying on one algorithmic stream.