Abstract-This paper presents the methods and results of a project that collects and analyses public comments written in response to political posts on Facebook using natural language processing and social psychological methods in order to explore emotional attitudes and social behavior.
Abstract:The main purpose of this study was to explore the relationship between verbal short-term memory and the morphological complexity of words. Hungarian, as an agglutinative language, is of special interest for psycholinguistic inquiries in morphology. The authors presented two word-list recall experiments. The recall of the word list was measured by the classical span design. The item lists consisted of two-syllable stems (base words) and twosyllable morphologically complex words (stem + suffix). Within each list the words were of the same length, the same phonological structure (CVCVC), the same frequency and the same concreteness. The same experimental design was used with three-syllable words as well. Results indicated that morphological complexity had a significant negative effect on shortterm memory span, and that memory was better for derived words (e.g., boy + hood) than inflected words (e.g., boy + s), and regular than irregular words.
This paper presents the methodology and results of a project for the large-scale analysis of public messages in political discourse on Facebook, the dominant social media site in Hungary. We propose several novel social psychologymotivated dimensions for natural language processing-based text analysis that go beyond the standard sentiment-based analysis approaches. Communion describes the moral and emotional aspects of an individual's relations to others, while agency describes individuals in terms of the efficiency of their goalorientated behavior. We treat these by custom lexicons that identify positive and negative cues in text. We measure the level of optimism in messages by examining the ratio of events talked about in the past, present and future by looking at verb tenses and temporal expressions. For assessing the level of individualism, we build on research that correlates it to pronoun dropping. We also present results that demonstrate the viability of our measures on 1.9 million downloaded public Facebook comments by examining correlation to party preferences in public opinion poll data.
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