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| Main Authors: | , , |
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| Format: | Preprint |
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2026
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| Online Access: | https://arxiv.org/abs/2605.21521 |
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| _version_ | 1866914584573509632 |
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| author | Bazyari, Farhad Liu, Xianghang Moran, Sean |
| author_facet | Bazyari, Farhad Liu, Xianghang Moran, Sean |
| contents | Osborne and Dredze (2014) reported that Twitter was the timeliest social-media source of breaking news, trailing only newswire. Twelve years on, the platform landscape has shifted - Google+ is gone, X replaced Twitter, Bluesky and Threads have appeared - and platform data now flows almost exclusively through commercial social-listening providers that redact key fields. We revisit the question with two sampling designs run through the same downstream pipeline. Sample A draws N = 50 events from the Wikipedia Current Events Portal (WCEP) ranked by article pageviews. Sample B draws N = 109 events from Polymarket prediction markets ranked by USD trading volume, with each event's news moment pinned to the largest 1-hour trade-volume spike. Both samples are pulled from one commercial provider across nine indexed channels. We report three findings. (1) The X-vs-news direction depends on the sample. News leads X by a median of 21.6 min on Sample A (n = 6 paired); the same comparison is tied at -0.02 min on Sample B (n = 16 paired, X earliest in 38%). (2) The channel ecosystem has diversified. Bluesky, Facebook public, and YouTube together account for 24-32% of earliest channel wins; the 2014 "X versus newswire" framing no longer fits. (3) Coverage gaps are structural. Even with U.S.-relevance filtering and a pageview prior, the provider's index returns no on-topic evidence on 24% of randomly-sampled WCEP events. The paper's contribution is the cross-surface design that exposes the sample dependency in (1). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_21521 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Same Pipeline, Opposite Conclusions: Sample-Surface Effects in Breaking-News Latency Bazyari, Farhad Liu, Xianghang Moran, Sean Social and Information Networks Osborne and Dredze (2014) reported that Twitter was the timeliest social-media source of breaking news, trailing only newswire. Twelve years on, the platform landscape has shifted - Google+ is gone, X replaced Twitter, Bluesky and Threads have appeared - and platform data now flows almost exclusively through commercial social-listening providers that redact key fields. We revisit the question with two sampling designs run through the same downstream pipeline. Sample A draws N = 50 events from the Wikipedia Current Events Portal (WCEP) ranked by article pageviews. Sample B draws N = 109 events from Polymarket prediction markets ranked by USD trading volume, with each event's news moment pinned to the largest 1-hour trade-volume spike. Both samples are pulled from one commercial provider across nine indexed channels. We report three findings. (1) The X-vs-news direction depends on the sample. News leads X by a median of 21.6 min on Sample A (n = 6 paired); the same comparison is tied at -0.02 min on Sample B (n = 16 paired, X earliest in 38%). (2) The channel ecosystem has diversified. Bluesky, Facebook public, and YouTube together account for 24-32% of earliest channel wins; the 2014 "X versus newswire" framing no longer fits. (3) Coverage gaps are structural. Even with U.S.-relevance filtering and a pageview prior, the provider's index returns no on-topic evidence on 24% of randomly-sampled WCEP events. The paper's contribution is the cross-surface design that exposes the sample dependency in (1). |
| title | Same Pipeline, Opposite Conclusions: Sample-Surface Effects in Breaking-News Latency |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2605.21521 |