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Comparison

Winner: Tie

Both sources show similar manipulation risk. Compare factual evidence directly.

Topics

Chatgpt

Instant verdict

Less biased source: Tie
More emotional framing: Tie
More one-sided framing: Tie
Weaker evidence quality: Tie
More manipulative overall: Tie

Narrative conflict

Source A main narrative

Jan 30, 2026 10:33:00 According to OpenAI, at the time of writing, the majority of users were using GPT-5.2, and the number of users using GPT-4o had dropped to just 0.1%.

Source B main narrative

The source frames the story through political decision-making and responsibility allocation.

Conflict summary

Stance contrast: Jan 30, 2026 10:33:00 According to OpenAI, at the time of writing, the majority of users were using GPT-5.2, and the number of users using GPT-4o had dropped to just 0.1%. Alternative framing: The source frames the story through political decision-making and responsibility allocation.

Source A stance

Jan 30, 2026 10:33:00 According to OpenAI, at the time of writing, the majority of users were using GPT-5.2, and the number of users using GPT-4o had dropped to just 0.1%.

Stance confidence: 53%

Source B stance

The source frames the story through political decision-making and responsibility allocation.

Stance confidence: 72%

Central stance contrast

Stance contrast: Jan 30, 2026 10:33:00 According to OpenAI, at the time of writing, the majority of users were using GPT-5.2, and the number of users using GPT-4o had dropped to just 0.1%. Alternative framing: The source frames the story through political decision-making and responsibility allocation.

Why this pair fits comparison

  • Candidate type: Alternative framing
  • Comparison quality: 54%
  • Event overlap score: 32%
  • Contrast score: 73%
  • Contrast strength: Strong comparison
  • Stance contrast strength: High
  • Event overlap: Topical overlap is moderate. URL context points to the same episode.
  • Contrast signal: Stance contrast: Jan 30, 2026 10:33:00 According to OpenAI, at the time of writing, the majority of users were using GPT-5.2, and the number of users using GPT-4o had dropped to just 0.1%. Alternative framing: The sourc…

Key claims and evidence

Key claims in source A

  • Jan 30, 2026 10:33:00 According to OpenAI, at the time of writing, the majority of users were using GPT-5.2, and the number of users using GPT-4o had dropped to just 0.1%.
  • OpenAI explains, 'We understand that losing GPT-4o will be frustrating for some users.
  • While retiring models is not easy, retiring older models allows us to focus on improving the current models used by many of our users.' The four models will still be available via API.
  • The four models will become unusable on February 13, 2026.

Key claims in source B

  • Новости 2026-02-14 «Мое сердце разрывается от боли», «Это больнее, чем любое расставание в реальной жизни».
  • Изображение Grok 13 февраля — это день перед Днем святого Валентина, что некоторые пользователи назвали «пощечиной».
  • В OpenAI поясняют, что это решение было принято в связи с тем, что последние модели GPT-5.1 и 5.2 были улучшены на основе отзывов пользователей, и что GPT-4o по-прежнему используют лишь 0,1% пользователей.
  • Мы знаем, что потеря доступа к GPT-4o вызовет разочарование у некоторых пользователей, и мы приняли это решение нелегко., — говорится в заключении сообщения в блоге OpenAI.

Text evidence

Evidence from source A

  • key claim
    Jan 30, 2026 10:33:00 According to OpenAI, at the time of writing, the majority of users were using GPT-5.2, and the number of users using GPT-4o had dropped to just 0.1%.

    A key claim that anchors the narrative framing.

  • key claim
    OpenAI explains, 'We understand that losing GPT-4o will be frustrating for some users.

    A key claim that anchors the narrative framing.

Evidence from source B

  • key claim
    Новости 2026-02-14 «Мое сердце разрывается от боли», «Это больнее, чем любое расставание в реальной жизни».

    A key claim that anchors the narrative framing.

  • key claim
    В OpenAI поясняют, что это решение было принято в связи с тем, что последние модели GPT-5.1 и 5.2 были улучшены на основе отзывов пользователей, и что GPT-4o по-прежнему используют лишь 0,1…

    A key claim that anchors the narrative framing.

  • emotional language
    Это УЖАСНО; Мне нехорошо… Я несколько раз плакала, разговаривая сегодня со своим партнером; Я не могу перестать плакать.

    Emotionally loaded wording that may amplify audience reaction.

  • selective emphasis
    — Отказ от моделей никогда не бывает легким, но это позволяет нам сосредоточиться на улучшении моделей, которые большинство людей используют сегодня».

    Possible selective emphasis on specific aspects of the story.

Bias/manipulation evidence

How score signals are formed

Bias score signal Bias signal combines framing pressure, emotional wording, selective emphasis, and one-sided narrative markers.
Emotionality signal Emotionality rises when evidence contains emotionally loaded wording and evaluative labels.
One-sidedness signal One-sidedness rises when one frame dominates and alternative interpretations are weakly represented.
Evidence strength signal Evidence strength rises with concrete claims, attributed statements, and verifiable contextual support.

Source A

26%

emotionality: 25 · one-sidedness: 30

Detected in Source A
framing effect

Source B

26%

emotionality: 25 · one-sidedness: 30

Detected in Source B
framing effect

Metrics

Bias score Source A: 26 · Source B: 26
Emotionality Source A: 25 · Source B: 25
One-sidedness Source A: 30 · Source B: 30
Evidence strength Source A: 70 · Source B: 70

Framing differences

Possible omitted/downplayed context

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