NOOZ.AI: Wise Up to Media Bias
Sadržava oglase
1 hilj.+
Preuzimanja
Za svakoga 10+
info
O aplikaciji
NOOZ.AI is an AI-driven news aggregator that analyzes the news using natural language processing and machine learning to empower readers in identifying news media influence.
NOOZ.AI provides the following:
ARTICLE ANALYSIS: Get visual insight into media bias via labels for opinion, sentiment, propaganda, revisions, and ghost edits on each news listing.
OPINION ANALYSIS: Discover how much a journalist expresses personal feelings, views, or judgments regarding the story’s topic. Opinion scores are grouped into 5 opinion labels: Neutral, Slight, Partial, High, and Extreme.
SENTIMENT ANALYSIS: Gauge the journalist’s positivity (sympathy & support) or negativity (antagonism & opposition) concerning the story’s topic. Sentiment scores are grouped into 5 sentiment labels: Very Negative, Negative, Neutral, Positive, and Very Positive.
PROPAGANDA ANALYSIS: Detect potential disinformation by identifying the usage of up to 18 possible persuasion techniques. Some of the more common types of propaganda found are “Flag Waving”, “Name Calling, Labeling”, “Exaggeration, Minimisation”, “Appeal to Fear & Prejudice”, and “Loaded Language”, just to name a few.
REVISION ANALYSIS: Investigate the evolution of a news story and the writer’s manipulation of opinion, sentiment, and propaganda over time. Our analytics reveal all the changes in each published revision of a specific news article and identifies “ghost edits” that occur when the publisher does not update the published date after making a change.
NOOZ.AI provides the following:
ARTICLE ANALYSIS: Get visual insight into media bias via labels for opinion, sentiment, propaganda, revisions, and ghost edits on each news listing.
OPINION ANALYSIS: Discover how much a journalist expresses personal feelings, views, or judgments regarding the story’s topic. Opinion scores are grouped into 5 opinion labels: Neutral, Slight, Partial, High, and Extreme.
SENTIMENT ANALYSIS: Gauge the journalist’s positivity (sympathy & support) or negativity (antagonism & opposition) concerning the story’s topic. Sentiment scores are grouped into 5 sentiment labels: Very Negative, Negative, Neutral, Positive, and Very Positive.
PROPAGANDA ANALYSIS: Detect potential disinformation by identifying the usage of up to 18 possible persuasion techniques. Some of the more common types of propaganda found are “Flag Waving”, “Name Calling, Labeling”, “Exaggeration, Minimisation”, “Appeal to Fear & Prejudice”, and “Loaded Language”, just to name a few.
REVISION ANALYSIS: Investigate the evolution of a news story and the writer’s manipulation of opinion, sentiment, and propaganda over time. Our analytics reveal all the changes in each published revision of a specific news article and identifies “ghost edits” that occur when the publisher does not update the published date after making a change.
Ažurirano dana
Sigurnost počinje razumijevanjem na koji način programeri prikupljaju i dijele vaše podatke. Privatnost podataka i sigurnosne prakse se mogu razlikovati ovisno o korištenju, regiji i dobi. Programer je naveo ove informacije i može ih s vremenom ažurirati.
Ova aplikacija može dijeliti ove vrste podataka s trećim stranama
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