Inteligencia Artificial granadina para luchar contra las 'fake news' en Twitter
Barrera Granada 16/10/2020 Actualizado 18/10/2020 - 16:52h. Miguel Molina Solana ha subido al escenario del Parque de las Ciencias para explicar el intríngulis de su innovadora metodología. Su creación desvela las probabilidades de que los tuits contengan información falsa.
- ▪Barrera Granada 16/10/2020 Actualizado 18/10/2020 - 16:52h.
- ▪Miguel Molina Solana ha subido al escenario del Parque de las Ciencias para explicar el intríngulis de su innovadora metodología.
- ▪Su creación desvela las probabilidades de que los tuits contengan información falsa.
RSS de noticias de tatgranada publishes from Spain and files mainly under news. We currently carry 63 of its stories.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Ideal |
| Canonical URL | https://www.ideal.es/tatgranada/inteligencia-artificial-granadina-20201016132218-nt.html |
| Publication time | Fri, 24 Jul 2026 15:52:09 +0200 |
| Retrieval time | 2026-07-24T13:52:39.305Z |
| Last seen | 2026-07-24T13:52:39.305Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | n0TAzq-F_hMj |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Inteligencia Artificial granadina para luchar contra las 'fake news' en Twitter Dos profesores de la UGR aplican algoritmos y generan 'Big Data' para desvelar las probabilidades de que los tuits contengan información falsa Regala esta noticia Añádenos en Google El profesor de la UGR explicó cómo destripan la veracidad de los tuits. . (Ramón L. Pérez) Javier F. Barrera Granada 16/10/2020 Actualizado 18/10/2020 - 16:52h. Miguel Molina Solana ha subido al escenario del Parque de las Ciencias para explicar el intríngulis de su innovadora metodología. Su creación desvela las probabilidades de que los tuits contengan información falsa. Es un proyecto que ha realizado con Juan Gómez Romero, ambos del departamento de Ciencias de la Computación de la Universidad de Granada (UGR).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Ideal.