Fernando Rodríguez Laso

ABSTRACTIn two experiments, we explored whether anecdotal stories influenced how individuals reasoned when evaluating scientific news articles. We additionally considered the role of education level and thinking dispositions on reasoning. Participants evaluated eight scientific news articles that drew questionable interpretations from the evidence. Overall, anecdotal stories decreased the ability to reason scientifically even when controlling for education level and thinking dispositions. Additionally, we found that article length was related to participants' ratings of the news articles. Our study demonstrates that anecdotes can discourage scientific reasoning while also pointing to the potential influence of article length on judgements of quality.

El propósito de este ensayo es mostrar los logros iniciales, pero decisivos, que Sartre gana para la futura constitución de su ontología fenomenológica. Además se señalan los vacíos –básicamente la abstracción de la libertad, su separación radical del Ego– que lo imposibilitan para establecer criterios valorativos de decisión y dar cuenta de la continuidad de la personalidad. Palabras clave : Sartre; conciencia pre-reflexiva; ego; libertad. Libertarianism of the Ego’s TranscendenceThe purpose of this essay is to show the initial, yet decisive achievements that Sartre attains for the future constitution of his phenomenological ontology. Besides, I point to the gaps –basically the abstraction of freedom, its radical separation from the Ego– which make it impossible for him both to establish valuation criteria on decisions and explain the continuity of personality. Keywords : Sartre; Pre-Reflective Consciousness; Ego;Freedom

Resumen. En la presente investigación se describe el análisis de sentimiento realizado en comentarios publicados en la red social de Twitter. Los datos se obtuvieron al monitorear durante 36 días la evaluación del sentimiento de los comentarios que resultaron de hacer búsquedas de catorce diferentes sistemas operativos para celular; utilizando para dicha evaluación la herramienta Twitter-Sentiment. Se encontró que los comentarios positivos y negati¬vos presentan una correlación positiva para la mayoría de los sistemas operativos utilizados en la investigación.. The present research describes the sentiment analysis carried on com¬ments published on the social network Twitter. The data were obtained by monitoring over 36 days of evaluation on the sentiment of the comments that resulted from querying four¬teen different mobile operating systems; using Twitter-Sentiment for the evaluation. It was found that the positive and negative comments have a positive correlation for most operating systems used in this research