Basics of qualitative research: Grounded theory procedures and techniques

Part I. Experimental Studies: 2. Experiment in psychology 3. Experiments on perceiving III Experiments on imaging 4-8. Experiments on remembering: (a) The method of description (b) The method of repeated reproduction (c) The method of picture writing (d) The method of serial reproduction (e) The method of serial reproduction picture material 9. Perceiving, recognizing, remembering 10. A theory of remembering 11. Images and their functions 12. Meaning Part II. Remembering as a Study in Social Psychology: 13. Social psychology 14. Social psychology and the matter of recall 15. Social psychology and the manner of recall 16. Conventionalism 17. The notion of a collective unconscious 18. The basis of social recall 19. A summary and some conclusions.

Remembering. A Study in Experimental and Social Psychology, Cambridge (University Press) 1964.

Attachment--and loss.

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online.

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Sentiment Analysis and Opinion Mining

We are in the midst of a technological revolution whereby, for the first time, researchers can link daily word use to a broad array of real-world behaviors. This article reviews several computerized text analysis methods and describes how Linguistic Inquiry and Word Count (LIWC) was created and validated. LIWC is a transparent text analysis program that counts words in psychologically meaningful categories. Empirical results using LIWC demonstrate its ability to detect meaning in a wide variety of experimental settings, including to show attentional focus, emotionality, social relationships, thinking styles, and individual differences.

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The psychological meaning of words: LIWC and computerized text analysis methods

/pdf/a-re-analysis-that-supports-our-main-results-a-reply-to-mi1s5z85b8.pdf

A re‐analysis that supports our main results: A reply to Levine et al.

We examined how much information British and Arab truth tellers and lie tellers volunteer in an initial free narrative. Based on cultural differences in communication styles we predicted that Briti...

‘Please tell me all you remember’: a comparison between British and Arab interviewees’ free narrative performance and its implications for lie detection

Applying the verifiability approach to deception detection in alibi witness situations

Research has shown that a comparable truth baseline (CTB) approach elicits more cues to deception and results in higher accuracy rates than a small talk baseline. Past research focused on laypeople's accuracy rates. We examined whether the CTB also has a positive effect on law enforcement personnel accuracy. In this study, 95 police officers judged 10 interviews, whereby half of the senders told the truth, and the other half lied about a mock undercover mission. Half of the interviews included only questioning about the event under investigation, whereas the other half also included questioning aimed at creating a CTB. Total and truth accuracy did not differ, but observers who watched interviews with a CTB obtained higher lie detection accuracy rates than those who watched interviews without the baseline questioning. Signal detection analyses showed that this effect could be attributed to a decreased response bias in the CTB condition.

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Police Accuracy in truth/lie Detection When Judging Baseline Interviews

This study examines people's first impressions of voices of various ethnic origin and recognizability from identification line-ups. It was hypothesized that voices that were easily recognized would be perceived more negatively than less recognizable ones, fitting the “bad guy” stereotype. Forty English native speakers rated the voices of 12 male speakers for attractiveness, extraversion, dominance, kindness, intelligence, success, goodness, as well as for several voice characteristics (i.e., melody, clarity, nervousness). The recognizability categorization process (low-, medium-, and high-recognizability groups) was determined from accuracy rates collected in a different study. A significant effect for recognizability was found on first impressions. Partially in line with the hypothesis, voices low in recognizability were rated more positively than voices whose recognizability was high. Attributes in which high-recognizability voices differed significantly from the other voices concerned nervousness, mora...

Aldert Vrij

Papers

A re‐analysis that supports our main results: A reply to Levine et al.

‘Please tell me all you remember’: a comparison between British and Arab interviewees’ free narrative performance and its implications for lie detection

Applying the verifiability approach to deception detection in alibi witness situations

Police Accuracy in truth/lie Detection When Judging Baseline Interviews

Why is my voice so easily recognized in voice parades? influence of first impressions on voice identification