Influence of suggestion in the DRM paradigm: what state of consciousness is associated with false memory?

We assessed the effect of suggestion on the Deese–Roediger–McDermott paradigm and associated it with the Remember–Know–Guess paradigm. Undergraduate students were given either lists of semantically related words or texts containing these words. After the recall task, if participants did not produce the critical lure, the experimenter suggested that the word had been present, using either a question (moderate suggestion) or an assertion (strong suggestion); these conditions were compared to a condition without suggestion. Afterwards, participants took a recognition test. The results showed that strong suggestions lead to more false recognitions than other conditions and the state of consciousness associated with false recognitions tends to be a feeling of knowing rather than remembering, regardless of the verbal version (list or text). Therefore moderate suggestions did not lead to more false recognitions compare to no suggestion. We discuss the impact of suggestion on consciousness associated with false memories.     

Sem-analysing events: towards a cultural pedagogy of hope

This paper locates the concept of learning among real-life human experiences and events. Functioning as a sign, a meaningful event can be understood in terms of a cultural extra-linguistic “text.” Reading and interpreting diverse cultural “texts” are equivalent to constructing and learning critical symbolic lessons embedded in a continuous process of our experiential, both intellectual and ethical, growth. The paper employs Julia Kristeva’s theory of the abjection and her method of semanalysis as a synthesis of philosophy, psychoanalysis and semiotics. Extending semiotic analysis to the level of informal education, the paper asserts that real-life events, such as the destruction of the Twin Towers on September 11, can become a means towards constructing the cultural pedagogy of hope paramount to sustaining a global society.

Social Media and Language Processing: How Facebook and Twitter Provide the Best Frequency Estimates for Studying Word Recognition

Corpus‐based word frequencies are one of the most important predictors in language processing tasks. Frequencies based on conversational corpora (such as movie subtitles) are shown to better capture the variance in lexical decision tasks compared to traditional corpora. In this study, we show that frequencies computed from social media are currently the best frequency‐based estimators of lexical decision reaction times (up to 3.6% increase in explained variance). The results are robust (observed for Twitter‐ and Facebook‐based frequencies on American English and British English datasets) and are still substantial when we control for corpus size.     

Discursive Construction of Political Categories and Moral Fields: God Versus Rights and Access in a Reproductive Health Legislative Debate

Using a discursive lens, we argue that politicians rhetorically construct categories, storylines, and moral fields. We further claim that such discursive products are action‐oriented toward gaining popular support in a public sphere that is politically fault lined along similar moral orders. As a case in point, we analyze speeches delivered during congressional voting on a Reproductive Health bill (RH bill). Employing a mixed methods strategy, we first implement a quantitative lexical analysis of frequently used words, followed by a qualitative detection of cohering storylines on both sides of the debate. Results show that oppositionists mark their speeches with a deployment of the word God, while bill supporters use the word access conspicuously. One storyline claims that The RH bill stands against God, while the other purports that The RH bill advocates rights and access. Although both storylines assert moral righteousness, they invoke two different moral orders backed by power blocs and the public at large. The God story appeals to a Catholic discourse and the moral order loudly supported by the politically powerful Catholic Bishops Conference of the Philippines. The rights/access narrative references a liberal morality frame maintained by social liberals and Philippine President Aquino. We end our paper by introducing the idea of an intrastate discursive lens to analyze moral fields constructed by politicians, oriented toward winning support from the public at large.     

What is so frightening about spiders? Self‐rated and self‐disclosed impact of different characteristics and associations with phobia symptoms

Spider phobia is a common and impairing mental disorder, yet little is known about what characteristics of spiders that spider phobic individuals find frightening. Using screening data from a clinical trial, we explored which characteristics that spider‐fearful individuals (n = 194) rated as having the greatest impact on fear, used factor analysis to group specific characteristics, and explored linear associations with self‐reported phobia symptoms. Second, a guided text‐mining approach was used to extract the most common words in free‐text responses to the question: “What is it about spiders that you find frightening?” Both analysis types suggested that movement‐related characteristics of spiders were the most important, followed by appearance characteristics. There were, however, no linear associations with degree of phobia symptoms. Our findings reveal the importance of targeting movement‐related fears in in‐vivo exposure therapy for spider phobia and using realistically animated spider stimuli in computer‐based experimental paradigms and clinical interventions such as Virtual Reality exposure therapy.     

Narrative congruence between populist President Duterte and the Filipino public: Shifting global alliances from the United States to China

This research examines what happened when the populist Philippine President Rodrigo Duterte reversed his country's global alliance, switching loyalties away from the United States towards China. We use the lens of narrative congruence, to see if political storylines of a populist president are accompanied by similar shifts in storylines among his followers. Our data corpus consists of text from Duterte's speeches and from comments on partisan Facebook pages, representing supporters and opponents of the president. We time‐bound our data corpus to text produced around the time President Duterte announced his realignment towards China. We use text mining and network analysis to identify overlaps among words used by the different social actors. Our findings show that when Duterte switched alliances, Facebookers—regardless of partisanship—accepted this alliance shift. However, our results likewise reveal an imperfect congruence. Duterte's followers move on to a story criticizing Duterte's domestic political enemies, whereas anti‐Duterte Facebookers talk about monetary deals and drug issues in the Philippines' newfound friendship with China. We discuss our findings in the light of a psychology of populism, the use of a discursive social networks approach to study macropsychological phenomena, and discursive resistance in a populist state.     

Young driver distraction by text messaging: A comparison of the effects of reading and typing text messages in Chinese versus English

BackgroundReading and typing text messages while driving seriously impairs driving performance and are prohibited activities in many jurisdictions. Hong Kong is a bilingual society and many people write in both Chinese and English. As the input methods for text messaging in Chinese and English are considerably different, this study used a driving simulator approach to compare the effects of reading and typing Chinese and English text messages on driving performance.MethodThe driving performances of 26 participants were monitored under the following conditions: (1) no distraction, (2) reading and typing Chinese text messages, and (3) reading and typing English text messages. The following measures of driving performance were collected under all of the conditions: reaction time (RT), driving lane undulation (DLU), driving speed fluctuation (DSF), and car-following distance (CFD) between test and leading cars.ResultsRT, DLU, and DSF were significantly impaired by reading and typing both Chinese and English text messages. Moreover, typing text messages distracted drivers more than reading them. Although the Chinese text messaging input system is more complicated than the English system, the use of Chinese did not cause a significantly different degree of distraction.ConclusionBoth reading and typing text messages while driving should be prohibited regardless of whether Chinese or English is used.     

Non-verbal expressivity in alexithymia: A study on emoji use in text messaging across varying levels of alexithymia

The present study examined whether emoji use would be quantitatively and/or qualitatively altered in alexithymia. 646 individuals (Mean Age = 23.11, SD = 7.03; 424 Female) with varying levels of alexithymia took part in a series of vignettes where they were positioned as senders of hypothetical text messages. Participants were tasked to opt in or out of tagging an emoji onto positive and negative text messages. Emoji use frequency was diminished at the high end of the alexithymic continuum, relative to the middle and low spectrums. However, emoji for positive and negative text messages were used with similar patterns of frequency across alexithymic groups of varying severity, suggesting that emoji use is quantitatively but not qualitatively altered in alexithymia.     

Interpretation-based processing: a unified theory of semantic sentence comprehension

We present interpretation-based processing—a theory of sentence processing that builds a syntactic and a semantic representation for a sentence and assigns an interpretation to the sentence as soon as possible. That interpretation can further participate in comprehension and in lexical processing and is vital for relating the sentence to the prior discourse. Our theory offers a unified account of the processing of literal sentences, metaphoric sentences, and sentences containing semantic illusions. It also explains how text can prime lexical access. We show that word literality is a matter of degree and that the speed and quality of comprehension depend both on how similar words are to their antecedents in the preceding text and how salient the sentence is with respect to the preceding text. Interpretation-based processing also reconciles superficially contradictory findings about the difference in processing times for metaphors and literals. The theory has been implemented in ACT-R [Anderson and Lebiere, The Atomic Components of Thought, Lawrence Erlbaum Associates Publishers, Mahwah, NJ, 1998].