An extended emotion-eliciting film clips set (EGEFILM): assessment of emotion ratings for 104 film clips in a Turkish sample.

The primary aim of this study was to test emotion-elicitation levels of widely used film clips in a Turkish sample and to expand existing databases by adding several new film clips with the capacity to elicit a wide range of emotions, including a rarely studied emotion category, i.e., calmness. For this purpose, we conducted a comprehensive review of prior studies and collected a large number of new suggestions from a Turkish sample to select film clips for eight emotion categories: amusement, tenderness, calmness, anger, sadness, disgust, fear, and neutrality. Furthermore, we aimed to assess emotion-eliciting levels of short video clips, mostly taken by amateur video footage. In total, 104 film clips were tested online by rating several affective dimensions. Self-reported emotional experience was assessed in terms of intensity, discreteness, valence, and arousal. It was found that at least one of the existing film clips, most of the new film clips, and the short video clips were successful at eliciting medium to high levels of target emotions. However, we also observed overlaps between certain emotions (e.g., tenderness-sadness, anger-sadness-disgust, or fear-anxiety). The current results are mostly in line with previous databases, suggesting that film clips are efficient at eliciting a wide range of emotions where cultural background might play a role in the elicitation of certain emotions (e.g., amusement, anger, etc.). We hope that this extended emotion-eliciting film clips set (EGEFILM) will provide a rich resource for future emotion research both in Turkey and the international area.

Turkish Emotional Word Norms for Arousal, Valence, and Discrete Emotion Categories.

The present study combined dimensional and categorical approaches to emotion to develop normative ratings for a large set of Turkish words on two major dimensions of emotion: arousal and valence, as well as on five basic emotion categories of happiness, sadness, anger, fear, and disgust. A set of 2031 Turkish words obtained by translating Affective Norms for English Words to Turkish and pooling from the Turkish Word Norms were rated by a large sample of 1527 participants. This is the first comprehensive and standardized word set in Turkish offering discrete emotional ratings in addition to dimensional ratings along with concreteness judgments. Consistent with Affective Norms for English Words and word databases in several other languages, arousal increased as valence became more positive or more negative. As expected, negative emotions (anger, sadness, fear, and disgust) were positively correlated with each other, whereas the positive emotion, happiness, was negatively correlated with the negative emotion categories. Data further showed that the valence dimension was strongly correlated with happiness, and the arousal dimension was mostly correlated with fear. These findings show highly similar and consistent patterns with word sets provided in other languages in terms of the relationships between arousal and valence dimensions, relationships between dimensions and specific emotion categories, relationships among specific emotions, and further support the stability of the relationship between basic discrete emotions at the word level across different cultures.