Begum Sener’s research while affiliated with McGill University and other places

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Publications (1)


Relative frequencies of anger and sadness expressions on Twitter (in Turkish) in a 15-day time window centered around December 10, 2016 in which a terrorist attack took place. The relative frequencies are calculated as explained in “Materials and methods”. The uptake in anger and sadness frequencies on December 17, 2016, is due to a suspected car bombing.
CIRFs capturing long-term transitions. Emotions are positioned in ascending order from bottom-left corner for each dimension: valence (A), arousal (B), and dominance (C). Each cell in the matrix represents how much more (or less) an emotion on the corresponding row will occupy the OSN conversations when the emotion in the corresponding column experiences an exogenous shock. Warm (cold) colors indicate that the emotion on the corresponding row will occupy the conversations more (less). The heatmap was created using heatmap package in MATLAB R2020a version (https://www.mathworks.com/help/matlab/ref/heatmap.html).
Long-term transitions to all destination emotions in response to a 10% exogenous shock to happiness (top row) and anger (bottom row). Emotions are positioned in the two-dimensional spaces by pairing valence, arousal, and dominance. The bubbles are proportional to the magnitude of the effect, with blue (red) colors indicating an increase (a decrease) in OSN conversations. The yellow (green) star marks the location of the source emotion happiness (anger).
Unveiling the dynamics of emotions in society through an analysis of online social network conversations
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September 2023

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145 Reads

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1 Citation

Begum Sener

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Ezgi Akpinar

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M. Berk Ataman

Social networks can provide insights into the emotions expressed by a society. However, the dynamic nature of emotions presents a significant challenge for policymakers, politicians, and communication professionals who seek to understand and respond to changes in emotions over time. To address this challenge, this paper investigates the frequency, duration, and transition of 24 distinct emotions over a 2-year period, analyzing more than 5 million tweets. The study shows that emotions with lower valence but higher dominance and/or arousal are more prevalent in online social networks. Emotions with higher valence and arousal tend to last longer, while dominant emotions tend to have shorter durations. Emotions occupying the conversations predominantly inhibit others with similar valence and dominance, and higher arousal. Over a month, emotions with similar valences tend to prevail in online social network conversations.

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Citations (1)


... porque conocer cuándo, cómo y por qué el afecto cambia en las redes sociales, permite controlarlo y adaptarlo a las necesidades del político o la empresa que vende un producto, así como a las decisiones que toma el votante o el consumidor. En este sentido, en el contexto de las redes sociales se ha encontrado que las emociones con mayores niveles de valencia y activación perduran más en el tiempo, mientras que las emociones con mayores niveles de dominancia tienden a durar menos (Sener et al., 2023). Además, las emociones negativas se expresan online con mayor frecuencia que cara a cara (Derks et al., 2008), seguramente porque el anonimato promueve en mayor grado su presencia en este ámbito. ...

Reference:

La evolución de las emociones en el mundo digital: El futuro previsible
Unveiling the dynamics of emotions in society through an analysis of online social network conversations