Dieses Bild zeigt Cornelia Sindermann

Cornelia Sindermann

Frau Dr.

Unabhängige Forschungsgruppenleitung - Computational Digital Psychology
SRF IRIS
IRIS3D

Kontakt

Universitätsstraße 32
70569 Stuttgart
Deutschland
Raum: 00.120

Sprechstunde

Nach Vereinbarung

Fachgebiet

  • Auswirkungen intelligenter Systeme auf die Art und Weise, wie Informationen online produziert (z. B. durch "GenAI"), verbreitet (z. B. durch "Bots", "Algorithmen") und präsentiert werden
  • Wie online präsentierte und konsumierte Informationen von verschiedenen Menschen kognitiv verarbeitet werden und wie sich dies auf ihre Meinungsbildung auswirkt, mit einem Schwerpunkt auf politisch relevanten Informationen und Meinungen
  • "Fake News", "Desinformation", "Filterblasen", "Echokammern" etc. im Internet und deren Auswirkungen auf politische Meinungsbildung
  • Möglichkeiten der politischen Partizipation im Internet
  • Politisches Mikrotargeting
  • Schaffung intelligenter Systeme zur Verbesserung der demokratischen Fähigkeiten
  • Datenökonomie und digitale Geschäftsmodelle
  • Zur Untersuchung dieser Themen wird ein multimethodischer Forschungsansatz angewandt, der Umfragen und experimentelle Versuchsdesigns sowie die Analyse digitaler Spurdaten und komplexe statistische Methoden umfasst

 

First-Authorships (ordered by year of publication and alphabetically):

2024:

Sindermann, C. (2024). Relations between different components of group identification and types of social media political participation in the context of the Fridays for Future movement. Personality and Individual Differences, 112773. https://doi.org/10.1016/j.paid.2024.112773

Sindermann, C., Löchner, N., Heinzelmann, R., Montag, C., & Scholz, R. W. (2024). The revenue model of mainstream online social networks and potential alternatives: A scenario-based evaluation by German adolescents and adults. Technology in Society, 102569. https://doi.org/10.1016/j.techsoc.2024.102569

Sindermann, C., Montag, C., & Elhai, J. D. (2024). The degree of homogeneity versus heterogeneity in individuals’ political news consumption – a replication and extension in two independent samples. Journal of Media Psychology. https://doi.org/10.1027/1864-1105/a000417

2023:

Sindermann, C., Kannen, C., & Montag, C. (2023). Linking primary emotional traits to ideological attitudes and personal value types. PLOS ONE, 18(1), e0279885. https://doi.org/10.1371/journal.pone.0279885

Sindermann, C. Scholz, R. W., Löchner, N., Heinzelmann, R., & Montag, C. (2023). The revenue model of mainstream social media: advancing discussions on social media based on a European perspective derived from interviews with scientific and practical experts. International Journal of Human-Computer Interaction.  https://doi.org/10.1080/10447318.2023.2278292

2022:

Sindermann, C., Rozgonjuk, D., Solvak, M., Realo, A., & Vassil, K. (2022). Internet voting: The role of personality traits and trust across three parliamentary elections in Estonia. Current Psychology. https://doi.org/10.1007/s12144-022-03644-4

Sindermann, C., Montag, C., & Elhai, J. D. (2022). The design of social media platforms – Initial evidence on relations between personality, fear of missing out, design element-driven increased social media use, and problematic social media use.  Technology, Mind, and Behavior 3(4). https://doi.org/10.1037/tmb0000096

Sindermann, C., Kannen, C., & Montag, C. (2022). Longitudinal data on (political) news consumption and political attitudes in a German sample collected during the election year 2021. Data in Brief, 108326. https://doi.org/10.1016/j.dib.2022.108326

Sindermann, C., Yang, H., Elhai, J. D., Yang, S., Quan, L., Li, M., & Montag, C. (2022). Acceptance and fear of artificial intelligence: Associations with personality in a German and a Chinese sample. Discover Psychology, 2(8). https://doi.org/10.1007/s44202-022-00020-y

Sindermann, C., Yang, H., Yang, S., Elhai, J. D., & Montag, C. (2022). Willingness to accept (WTA), willingness to pay (WTP), and the WTA/WTP disparity in Chinese social media platforms: Descriptive statistics and associations with personality and social media use. Acta Psychologica, 223, 103462. https://doi.org/10.1016/j.actpsy.2021.103462

2021:

Sindermann, C., Kannen, C., & Montag, C. (2021). The degree of heterogeneity of news consumption in Germany – Descriptive statistics and relations with individual differences in personality, ideological attitudes, and voting intentions. New Media & Society. https://doi.org/10.1177/14614448211061729

Sindermann, C., Lachmann, B., Elhai, J. D., & Montag, C. (2021). Personality associations with WhatsApp usage and usage of alternative messaging applications to protect one’s own data. Journal of Individual Differences, 42(4), 167–174. https://doi.org/10.1027/1614-0001/a000343

Sindermann, C., & Montag, C. (2021). Individual differences in need satisfaction and intentions to vote for specific political parties – results from Germany. Current Psychology. https://doi.org/10.1007/s12144-021-02100-z

Sindermann, C., Mõttus, R., Rozgonjuk, D., & Montag, C. (2021). Predicting current voting intentions by Big Five personality domains, facets, and nuances – A random forest analysis approach in a German sample. Personality Science, 2(1). https://doi.org/10.5964/ps.6017

Sindermann, C., Riedl, R., Elhai, J. D., & Montag, C. (2021). Linking the technology acceptance model to smartphone use and smartphone use disorder tendencies: Results from a survey study. Digital Psychology, 2(1), 6–18. https://doi.org/10.24989/dp.v2i1.1864

Sindermann, C., Schmitt, H., Kargl, F., Herbert, C., & Montag, C. (2021). Online privacy literacy and online privacy behavior – The role of crystallized intelligence and personality. International Journal of Human-Computer Interaction, 37(15), 1455–1466. https://doi.org/10.1080/10447318.2021.1894799

Sindermann, C., Schmitt, H., Rozgonjuk, D., Elhai, J. D., & Montag, C. (2021). The evaluation of fake and true news: On the role of intelligence, personality, interpersonal trust, ideological attitudes, and news consumption. Heliyon, 7(3), e06503. https://doi.org/10.1016/j.heliyon.2021.e06503

Sindermann, C., Sha, P., Zhou, M., Wernicke, J., Schmitt, H. S., Li, M., Sariyska, R., Stavrou, M., Becker, B., & Montag, C. (2021). Assessing the attitude towards artificial intelligence: Introduction of a short measure in German, Chinese, and English language. KI - Künstliche Intelligenz, 35(1), 109–118. https://doi.org/10.1007/s13218-020-00689-0

Sindermann, C., Yang, H., Liu, T., Elhai, J. D., & Montag, C. (2021). WeChat—Its problematic use and relations with the Big Five personality traits and Fear of Missing Out. Journal of Technology in Behavioral Science, 6(2), 397–405. https://doi.org/10.1007/s41347-020-00179-y

2020:

Sindermann, C., Cooper, A., & Montag, C. (2020). A short review on susceptibility to falling for fake political news. Current Opinion in Psychology, 36, 44–48. https://doi.org/10.1016/j.copsyc.2020.03.014

Sindermann, C., Duke, É., & Montag, C. (2020). Personality associations with Facebook use and tendencies towards Facebook use disorder. Addictive Behaviors Reports, 11, 100264. https://doi.org/10.1016/j.abrep.2020.100264

Sindermann, C., Elhai, J. D., & Montag, C. (2020). Predicting tendencies towards the disordered use of Facebook’s social media platforms: On the role of personality, impulsivity, and social anxiety. Psychiatry Research, 285, 112793. https://doi.org/10.1016/j.psychres.2020.112793

Sindermann, C., Elhai, J. D., Moshagen, M., & Montag, C. (2020). Age, gender, personality, ideological attitudes and individual differences in a person’s news spectrum: How many and who might be prone to “filter bubbles” and “echo chambers” online? Heliyon, 6(1), e03214. https://doi.org/10.1016/j.heliyon.2020.e03214

Sindermann, C., Kuss, D. J., Throuvala, M. A., Griffiths, M. D., & Montag, C. (2020). Should we pay for our social media/messenger applications? Preliminary data on the acceptance of an alternative to the current prevailing data business model. Frontiers in Psychology, 11, 1415. https://doi.org/10.3389/fpsyg.2020.01415

Sindermann, C., Luo, R., Becker, B., Kendrick, K. M., & Montag, C. (2020). The role of oxytocin on self-serving lying. Brain and Behavior, 10(2), e01518. https://doi.org/10.1002/brb3.1518

Sindermann, C., Riedl, R., & Montag, C. (2020). Investigating the relationship between personality and technology acceptance with a focus on the smartphone from a gender perspective: Results of an exploratory survey study. Future Internet, 12(7), 110. https://doi.org/10.3390/fi12070110

2019:

Sindermann, C., Cooper, A. J., & Montag, C. (2019). Empathy, autistic tendencies and systemizing tendencies – relationships between standard self-report measures. Frontiers in Psychiatry, 10, 307. https://doi.org/10.3389/fpsyt.2019.00307

2018:

Sindermann, C., Luo, R., Zhang, Y., Kendrick, K. M., Becker, B., & Montag, C. (2018). The COMT Val158Met polymorphism and reaction to a transgression: Findings of genetic associations in both Chinese and German samples. Frontiers in Behavioral Neuroscience, 12, 148. https://doi.org/10.3389/fnbeh.2018.00148

Sindermann, C., Luo, R., Zhao, Z., Li, Q., Li, M., Kendrick, K. M., Panksepp, J., & Montag, C. (2018). High ANGER and low agreeableness predict vengefulness in German and Chinese participants. Personality and Individual Differences, 121, 184–192. https://doi.org/10.1016/j.paid.2017.09.004

Sindermann, C.*, Markett, S.*, Jung, S., & Montag, C. (2018). Genetic variation of COMT impacts mindfulness and self-reported everyday cognitive failures but not self-rated attentional control. Mindfulness, 9(5), 1479–1485. https://doi.org/10.1007/s12671-018-0893-4

Sindermann, C., Sariyska, R., Lachmann, B., Brand, M., & Montag, C. (2018). Associations between the dark triad of personality and unspecified/specific forms of Internet-use disorder. Journal of Behavioral Addictions, 7(4), 985–992. https://doi.org/10.1556/2006.7.2018.114

2017:

Sindermann, C., Kendrick, K. M., Becker, B., Li, M., Li, S., & Montag, C. (2017). Does growing up in urban compared to rural areas shape primary emotional traits? Behavioral Sciences, 7(3), 60. https://doi.org/10.3390/bs7030060

Sindermann, C., Saliger, J., Nielsen, J., Karbe, H., Markett, S., Stavrou, M., & Montag, C. (2017). Personality and primary emotional traits: Disentangling multiple sclerosis related fatigue and depression. Archives of Clinical Neuropsychology, 33(5), 552–561. https://doi.org/10.1093/arclin/acx104

2016:

Montag, C.*, Sindermann, C.*, Becker, B., & Panksepp, J. (2016). An affective neuroscience framework for the molecular study of Internet addiction. Frontiers in Psychology, 7, 1906. https://doi.org/10.3389/fpsyg.2016.01906

Sindermann, C., Li, M., Sariyska, R., Lachmann, B., Duke, É., Cooper, A., Warneck, L., & Montag, C. (2016). The 2D:4D-ratio and neuroticism revisited: Empirical evidence from Germany and China. Frontiers in Psychology, 7, 811. https://doi.org/10.3389/fpsyg.2016.00811

 

Senior-Authorships (ordered by year of publication and alphabetically):

2024:

Brandenstein, N., Montag, C., & Sindermann, C. (2024). To follow or not to follow: Estimating political opinion from twitter data using a network-based machine learning approach. Social Science Computer Review, 08944393241279418. https://doi.org/10.1177/08944393241279418

Scholz, R. W., Köckler, H., Zscheischler, J., Czichos, R., Hofmann, K.-M., & Sindermann, C. (2024). Transdisciplinary knowledge integration PART II: Experiences of five transdisciplinary processes on digital data use in Germany. Technological Forecasting & Social Change, 199, 122981. https://doi.org/10.1016/j.techfore.2023.122981

Scholz, R. W., Zscheischler, J., Köckler, H., Czichos, R., Hofmann, K.-M., & Sindermann, C. (2024). Transdisciplinary knowledge integration PART I: Theoretical foundations and an organizational structure. Technological Forecasting & Social Change, , 123281. https://doi.org/10.1016/j.techfore.2024.123281

2022:

Montag, C., Ko, H.-C., & Sindermann, C. (2022). Individual differences in importance ratings of Chinese values and their associations with the Big Five of personality in Western and Eastern populations. Discover Psychology, 2(1), 39. https://doi.org/10.1007/s44202-022-00050-6

Montag, C., Rozgonjuk, D., Riedl, R., & Sindermann, C. (2022). On the associations between videoconference fatigue, burnout and depression including personality associations. Journal of Affective Disorders Reports, 10, 100409. https://doi.org/10.1016/j.jadr.2022.100409

 

Co-Authorships (ordered by year of publication and alphabetically):

2024:

Alshakhsi, S., Babiker, A., Sindermann, C., Al-Thani, D., Montag, C., & Ali, R. (2024). Willingness to pay for digital wellbeing features on social network sites: A study with arab and european samples. Frontiers in Computer Science, 6. https://doi.org/10.3389/fcomp.2024.1387681

Babiker, A., Alshakhsi, S., Sindermann, C., Montag, C., & Ali, R. (2024). Examining the growth in willingness to pay for digital wellbeing services on social media: A comparative analysis. Heliyon, 10(11). https://doi.org/10.1016/j.heliyon.2024.e32467

Hillebrand, M. C., Sindermann, C., Montag, C., Wuttke, A., Heinzelmann, R., Haas, H., & Wilz, G. (2024). Salivary cortisol and alpha-amylase as stress markers to evaluate an individualized music intervention for people with dementia: Feasibility and pilot analyses. BMC Research Notes, 17(1), 258. https://doi.org/10.1186/s13104-024-06904-7

Kannen, C., Sindermann, C., & Montag, C. (2024). On the Willingness to Pay for social media/messenger services taking into account personality and sent/received messages among WhatsApp users. Heliyon, 10(9), e28840. https://doi.org/10.1016/j.heliyon.2024.e28840

Schmitt, H. S., Sindermann, C., & Montag, C. (n.d.). Moral disengagement and low self-control make a versatile rulebreaker: A partial test of situational action theory across various manifestations of deviance. Deviant Behavior, 0(0), 1–37. https://doi.org/10.1080/01639625.2024.2398529

Zheng, X., Zhou, F., Fu, M., Xu, L., Wang, J., Li, J., Li, K., Sindermann, C., Montag, C., Becker, B., Zhan, Y., & Kendrick, K. (2024). Patterns of neural activity in response to threatening faces are predictive of autistic traits: modulatory effects of oxytocin receptor genotype. Translational Psychiatry, 14(168). https://doi.org/10.1038/s41398-024-02889-w

2023:

Williams, J. R., Sindermann, C., Yang H., Montag, C., Elhai, J. D. (2023). Latent profiles of problematic smartphone use severity are associated with social and generalized anxiety, and fear of missing out, among Chinese high school students. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 17(5). https://doi.org/10.5817/CP2023-X-1

Liu, C., Li, K., Zheng, X., Fu, M., Zhang, Y., Sindermann, C., Montag, C., Zhang, H., Yao, Z., Wang, Z., Zhou, B., Kendrick, K., & Becker, B. (2023). A central serotonin regulating gene polymorphism (TPH2) determines vulnerability to acute tryptophan depletion-induced anxiety and ventromedial prefrontal threat reactivity in healthy young men. European Neuropsychopharmacology, 77, 24-34. https://doi.org/10.1016/j.euroneuro.2023.08.484

Zhang, Y., Yao, S., Sindermann, C., Rozgonjuk, D., Zhou, M., Riedl, R., & Montag, C. (2023). Investigating autistic traits, social phobia, fear of COVID-19, and internet use disorder variables in the context of videoconference fatigue. Telematics and Informatics Reports, 11, 100067. https://doi.org/10.1016/j.teler.2023.100067

2022:

Dhawan, S., Hegelich, S., Sindermann, C., & Montag, C. (2022). Re-start social media, but how? Telematics and Informatics Reports, 8, 100017. https://doi.org/10.1016/j.teler.2022.100017

Hermes, A., Sindermann, C., Montag, C., & Riedl, R. (2022). Exploring online and in-store purchase willingness: Associations with the Big Five personality traits, trust, and need for touch. Frontiers in Psychology, 13, 808500. https://doi.org/10.3389/fpsyg.2022.808500

Jung, S., Sindermann, C., Yang, H., Elhai, J. D., & Montag, C. (2022). Anxiety-related coping styles and individual differences in Primary Emotional Systems against the background of Affective Neuroscience Theory: A study using samples from Germany and China. Trends in Psychology. https://doi.org/10.1007/s43076-022-00161-y

Rozgonjuk, D., Davis, K. L., Sindermann, C., & Montag, C. (2021). The Affective Neuroscience Personality Scales: Linking the adjective and statement-based inventories with the Big Five Inventory in English and German-speaking samples. Personality Neuroscience, 4, e7. https://doi.org/10.1017/pen.2021.6

2021:

Marengo, D., Montag, C., Sindermann, C., Elhai, J. D., & Settanni, M. (2021). Examining the links between active Facebook use, received likes, self-esteem and happiness: A study using objective social media data. Telematics and Informatics, 58, 101523. https://doi.org/10.1016/j.tele.2020.101523

Montag, C., Hegelich, S., Sindermann, C., Rozgonjuk, D., Marengo, D., & Elhai, J. D. (2021). On corporate responsibility when studying social media use and well-being. Trends in Cognitive Sciences, 25(4), 268–270. https://doi.org/10.1016/j.tics.2021.01.002

Montag, C., Sindermann, C., Rozgonjuk, D., Yang, S., Elhai, J., & Yang, H. (2021). Investigating links between Fear of COVID-19, neuroticism, social networks and smartphone use disorder tendencies. Frontiers in Psychology, 12, 682837. https://doi.org/10.3389/fpsyg.2021.682837

Müller, M., Sindermann, C., Rozgonjuk, D., & Montag, C. (2021). Mind-Wandering Mediates the Associations Between Neuroticism and Conscientiousness, and Tendencies Towards Smartphone Use Disorder. Frontiers in Psychology, 12, 2457. https://doi.org/10.3389/fpsyg.2021.661541

Peterka‐Bonetta, J., Sindermann, C., Elhai, J. D., & Montag, C. (2021). How objectively measured Twitter and Instagram use relate to self-reported personality and tendencies toward Internet/Smartphone Use Disorder. Human Behavior and Emerging Technologies. https://doi.org/10.1002/hbe2.243

Pontes, H. M., Schivinski, B., Sindermann, C., Li, M., Becker, B., Zhou, M., & Montag, C. (2021). Measurement and conceptualization of Gaming Disorder according to the World Health Organization framework: The development of the Gaming Disorder Test. International Journal of Mental Health and Addiction, 19(2), 508–528. https://doi.org/10.1007/s11469-019-00088-z

Rozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2021). Comparing smartphone, WhatsApp, Facebook, Instagram, and Snapchat: Which platform elicits the greatest use disorder symptoms? Cyberpsychology, Behavior, and Social Networking, 24(2), 129–134. https://doi.org/10.1089/cyber.2020.0156

Zhang, Y., Sindermann, C., Kendrick, K. M., Becker, B., & Montag, C. (2021). Individual differences in tendencies toward Internet use disorder, Internet literacy and their link to autistic traits in both China and Germany. Frontiers in Psychiatry, 12, 1367. https://doi.org/10.3389/fpsyt.2021.638655

2020:

de Hesselle, L. C., Rozgonjuk, D., Sindermann, C., Pontes, H. M., & Montag, C. (2020). The associations between Big Five personality traits, gaming motives, and self-reported time spent gaming. Personality and Individual Differences, 171, 110483. https://doi.org/10.1016/j.paid.2020.110483

Kou, J., Zhang, Y., Zhou, F., Sindermann, C., Montag, C., Becker, B., & Kendrick, K. M. (2021). A randomized trial shows dose-frequency and genotype may determine the therapeutic efficacy of intranasal oxytocin. Psychological Medicine, 1–10. https://doi.org/10.1017/S0033291720003803

Lachmann, B., Doebler, A., Sindermann, C., Sariyska, R., Cooper, A., Haas, H., & Montag, C. (2020). The molecular genetics of life satisfaction: Extending findings from a recent genome-wide association study and examining the role of the serotonin transporter. Journal of Happiness Studies, 22, 305–322. https://doi.org/10.1007/s10902-020-00231-x

Liu, C., Xu, L., Li, J., Zhou, F., Yang, X., Zheng, X., Fu, M., Li, K., Sindermann, C., Montag, C., Ma, Y., Scheele, D., Ebstein, R. P., Yao, S., Kendrick, K. M., & Becker, B. (2020). Serotonin and early life stress interact to shape brain architecture and anxious avoidant behavior – a TPH2 imaging genetics approach. Psychological Medicine, 1–9. https://doi.org/10.1017/S0033291720002809

Marengo, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020). One social media company to rule them all: Associations between use of Facebook-owned social media platforms, sociodemographic characteristics, and the Big Five personality traits. Frontiers in Psychology, 11, 936. https://doi.org/10.3389/fpsyg.2020.00936

Marengo, D., Sindermann, C., Häckel, D., Settanni, M., Elhai, J. D., & Montag, C. (2020). The association between the Big Five personality traits and smartphone use disorder: A meta-analysis. Journal of Behavioral Addictions, 9(3), 534–550. https://doi.org/10.1556/2006.2020.00069

Markett, S., Reuter, M., Sindermann, C., & Montag, C. (2020). Cognitive failure susceptibility and personality: Self-directedness predicts everyday cognitive failure. Personality and Individual Differences, 159, 109916. https://doi.org/10.1016/j.paid.2020.109916

Montag, C., Sindermann, C., & Baumeister, H. (2020). Digital phenotyping in psychological and medical sciences: A reflection about necessary prerequisites to reduce harm and increase benefits. Current Opinion in Psychology, 36, 19–24. https://doi.org/10.1016/j.copsyc.2020.03.013

Montag, C., Sindermann, C., Lester, D., & Davis, K. L. (2020). Linking individual differences in satisfaction with each of Maslow’s needs to the Big Five personality traits and Panksepp’s primary emotional systems. Heliyon, 6(7), e04325. https://doi.org/10.1016/j.heliyon.2020.e04325

Rozgonjuk, D., Sindermann, C., Elhai, J. D., Christensen, A. P., & Montag, C. (2020). Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use: An item-level exploratory graph analysis perspective. Journal of Behavioral Addictions, 9(3), 686–697. https://doi.org/10.1556/2006.2020.00036

Rozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020a). Fear of missing out (FoMO) and social media’s impact on daily-life and productivity at work: Do WhatsApp, Facebook, Instagram and Snapchat use disorders mediate that association? Addictive Behaviors, 110, 106487. https://doi.org/10.1016/j.addbeh.2020.106487

Rozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020b). Individual differences in Fear of Missing Out (FoMO): Age, gender, and the Big Five personality trait domains, facets, and items. Personality and Individual Differences, 171, 110546. https://doi.org/10.1016/j.paid.2020.110546

Schmitt, H. S., Sindermann, C., Li, M., Ma, Y., Kendrick, K. M., Becker, B., & Montag, C. (2020). The dark side of emotion recognition – Evidence from cross-cultural research in Germany and China. Frontiers in Psychology, 11, 1132. https://doi.org/10.3389/fpsyg.2020.01132

Zhao, W., Luo, R., Sindermann, C., Li, J., Wei, Z., Zhang, Y., Liu, C., Le, J., Quintana, D. S., Montag, C., Becker, B., & Kendrick, K. M. (2020). Oxytocin modulation of self-referential processing is partly replicable and sensitive to oxytocin receptor genotype. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 96, 109734. https://doi.org/10.1016/j.pnpbp.2019.109734

2019:

Jung, S., Sindermann, C., Lachmann, B., & Montag, C. (2019). Rs2572431 polymorphism on chromosome 8 is associated with individual differences in anxiety related coping modes. Frontiers in Psychology, 10, 1451. https://doi.org/10.3389/fpsyg.2019.01451

Jung, S., Sindermann, C., Li, M., Wernicke, J., Quan, L., Ko, H.-C., & Montag, C. (2019). Anxiety related coping styles, social support and Internet use disorder. Frontiers in Psychiatry, 10, 640. https://doi.org/10.3389/fpsyt.2019.00640

Peterka-Bonetta, J., Sindermann, C., Elhai, J. D., & Montag, C. (2019). Personality associations with smartphone and Internet use disorder: A comparison study including links to impulsivity and social anxiety. Frontiers in Public Health, 7, 127. https://doi.org/10.3389/fpubh.2019.00127

Peterka-Bonetta, J., Sindermann, C., Sha, P., Zhou, M., & Montag, C. (2019). The relationship between Internet use disorder, depression and burnout among Chinese and German college students. Addictive Behaviors, 89, 188–199. https://doi.org/10.1016/j.addbeh.2018.08.011

Sanwald, S., Widenhorn-Müller, K., Wernicke, J., Sindermann, C., Kiefer, M., & Montag, C. (2019). Depression is associated with the absence of sex differences in the 2D:4D ratio of the right hand. Frontiers in Psychiatry, 10, 483. https://doi.org/10.3389/fpsyt.2019.00483

Wernicke, J., Li, M., Sha, P., Zhou, M., Sindermann, C., Becker, B., Kendrick, K. M., & Montag, C. (2019). Individual differences in tendencies to attention-deficit/hyperactivity disorder and emotionality: Empirical evidence in young healthy adults from Germany and China. ADHD Attention Deficit and Hyperactivity Disorders, 11(2), 167–182. https://doi.org/10.1007/s12402-018-0266-9

Zhao, Z., Yao, S., Li, K., Sindermann, C., Zhou, F., Zhao, W., Li, J., Lührs, M., Goebel, R., Kendrick, K. M., & Becker, B. (2019). Real-time functional connectivity-informed neurofeedback of amygdala-frontal pathways reduces anxiety. Psychotherapy and Psychosomatics, 88(1), 5–15. https://doi.org/10.1159/000496057

2018:

Lachmann, B., Sindermann, C., Sariyska, R. Y., Luo, R., Melchers, M. C., Becker, B., Cooper, A. J., & Montag, C. (2018). The role of empathy and life satisfaction in Internet and Smartphone use disorder. Frontiers in Psychology, 9, 398. https://doi.org/10.3389/fpsyg.2018.00398

Montag, C., Zhao, Z., Sindermann, C. Xu, L., Fu, M., Li, J., Zheng, X., Li, K., Kendrick, K. M., Dai, J., & Becker, B. (2018). Internet communication disorder and the structure of the human brain: Initial insights on WeChat addiction. Scientific Reports, 8(1), 2155. https://doi.org/10.1038/s41598-018-19904-y

Stodt, B., Brand, M., Sindermann, C., Wegmann, E., Li, M., Zhou, M., Sha, P., & Montag, C. (2018). Investigating the effect of personality, Internet literacy, and use expectancies in Internet-use disorder: A comparative study between China and Germany. International Journal of Environmental Research and Public Health, 15(4), 579. https://doi.org/10.3390/ijerph15040579

2017:

Montag, C., Sindermann, C., Melchers, M., Jung, S., Luo, R., Becker, B., Xie, J., Xu, W., Guastella, A. J., & Kendrick, K. M. (2017). A functional polymorphism of the OXTR gene is associated with autistic traits in Caucasian and Asian populations. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 174(8), 808–816. https://doi.org/10.1002/ajmg.b.32596

2016:

Montag, C., Duke, É., Sha, P., Zhou, M., Sindermann, C., & Li, M. (2016). Does acceptance of power distance influence propensities for problematic Internet use? Evidence from a cross-cultural study. Asia-Pacific Psychiatry, 8(4), 296–301. https://doi.org/10.1111/appy.12229

 

Book chapters (ordered by year of publication and alphabetically):

2023:

Schmitt, H. S., Sindermann, C., Cooper, A., & Montag, C. (2023). 20 Empathy: A Cognitive Neuroscience Approach. In G. J. Boyle, G. Northoff, A. K. Barbey, F. Fregni, M. Jahanshani, A. Pascual-Leone, & B. J. Sahakian (Eds.), The Sage Handbook of Cognitive and Systems Neuroscience (pp. 306–322). SAGE Publications, Ltd.

2022:

Wernicke, J., Sindermann, C., & Montag, C. (2022). Psychologische und neurowissenschaftliche Aspekte Internetbezogener Störungen. In C. Schubert (Ed.), Gesundheitsforschung. Interdisziplinäre Perspektiven? Nomos.

2021:

Montag, C., & Sindermann, C. (2021). Herausforderung Digitalisierung – Eine psycho-neurobiologische Perspektive. In M. Gronover, A. Obermann, & H. Schnabel-Henke (Eds.), Religiöse Bildung in einer digitalisierten Welt – Beiträge zur Theorie und Praxis des Religionsunterrichts an berufsbildenden Schulen (pp. 66–90). Waxman

Sindermann, C., Ebner, F., Montag, C., Scholz, R. W., Ostendorf, S., Freytag, P., & Thull, B. (2021). Vulnerabilitätsraum: Soziale Medien. In R. W. Scholz, M. Beckedahl, S. Noller, O. Renn (Eds.), DiDaT Weißbuch: Verantwortungsvoller Umgang mit digitalen Daten – Orientierungen eines transdisziplinären Prozesses (pp. 169–195). Nomos.

Sindermann, C., Sariyska, R., Elhai, J. D., & Montag, C. (2021). Molecular genetics of neurotransmitters and neuropeptides involved in Internet use disorder including first insights on a potential role of Hypothalamus’ oxytocin hormone. D. F. Swaab, R. M. Buijs, F. Kreier, P. J. Lucassen, & A. Salehi (Eds.), The Human Hypothalamus: Neuropsychiatric Disorders (pp. 381–400). Elsevier.

Wissenschaftliche Abschlüsse 

04/2019:

Doctor rerum naturalium, Universität Ulm, Ulm, Deutschland

03/2016:

Master of Science in psychology, Universität Ulm, Ulm, Deutschland

10/2014:

Bachelor of Science in psychology, Universität Ulm, Ulm, Deutschland

Berufliche Erfahrungen

Seit 01/2023

Unabhängige Forschungsgruppenleitung des Computational Digital Psychology Teams im Interchange Forum for Reflecting on Intelligent Systems for Diversity, Demography, and Democracy (IRIS 3D), Universität Stuttgart, Stuttgart, Deutschland
[Assoziiertes Mitglied des „Cluster of Excellence SimTech“, „Stuttgart Center for Simulation Science“, PN7: „Adaptive Simulation and Interaction“; Mitglied der "Associated Faculty" der "International Max Planck Research School for Intelligent Systems"]

02/2023 - 02/2024

Gastprofessorin an der Universität für Weiterbildung Krems, Krems, Österreich

04/2019 – 12/2022:

Wissenschaftliche Mitarbeiterin (Postdoc) in Forschung und Lehre in der Abteilung Molekulare Psychologie Universität Ulm, Ulm, Deutschland 

10/2021 – 20/2022:

Gastwissenschaftlerin im Department of Psychology, University of Toledo, Toledo, OH, USA

03/2016 – 04/2019:

Doktorandin in der Abteilung Molekulare Psychologie, Universität Ulm, Ulm, Deutschland

03/2016 – 05/2018:

Vier Forschungsaufenthalte (insgesamt ca. 15 Monate) im NeuSCAN Laboratory, University of Electronic Science and Technology of China, Chengdu, China

10/2014 – 03/2016:

Wissenschaftliche Hilfskraft in der Abteilung Molekulare Psychologie, Universität Ulm, Ulm, Deutschland

07/2022 – 12/2022:

Forschungsförderung des Graduate and Professional Training Centre Ulm (ProTrainU; Höhe der Förderung: ca. 10000€)

10/2021 – 03/2022:

Stipendium für Postdoktorand*innen, um Forschung im Ausland durchzuführen vom Deutschen Akademischen Austauschdienst (DAAD; German Academic Exchange Service; ca. 19000€)

12/2020 – 02/2022:

Forschungsförderung durch die Vodafone Stiftung Deutschland (Höhe der Förderung: ca. 52000€)

2019:

Bonus für herausragende Leistungen in der Lehre der Fakultät für Ingenieurwissenschaften, Informatik, und Psychologie, Universität Ulm, Ulm, Deutschland

11/2016 – 09/2018:

Doktorand*innenstipendium der Studienstiftung des Deutschen Volkes (German Academic Scholarship Foundation; ca. 34000€)

 

  • Organisationskommittee des „German Political Psychology Network“ (https://polpsynet.netlify.app/org)
  • Co-Chair des „Research Committee 29 – Political Psychology“ der „International Political Science Association” (IPSA) (http://rc29.ipsa.org/)
  • Deutsche Gesellschaft für Psychologie (DGPs); Fachgruppen: "Differentielle Psychology, Persönlichkeitspsychologie und Psychologische Diagnostik", "Medienpsychology", "Sozialpsychology"
  • Society for Personality and Social Psychology (SPSP)
  • International Society for Political Psychology (ISPP)
  • International Political Science Association (IPSA)
  • Personality Computing Network (von der DFG gefördertes Projekt; https://www.personalitycomputing.net/who-we-are)
  • Verfassen von Gutachten für 52 internationale Fachzeitschriften, darunter Social Media and Society, Computers in Human Behavior und viele mehr
  • Co-Editorin eines Research topics bei Frontiers in Psychology
  • Co-Editorin der Buchreihe "Politische Psychologie"
  • Editorin bei advances.in/psychology

Wir sind immer auf der Suche nach motivierten Personen, die sich für Forschung an der Schnittstelle zwischen Psychologie, Politikwissenschaft und Informatik interessieren und freuen uns jederzeit über (Initiativ-)Bewerbungen.

Unser Team erforscht, wie intelligente Systeme und von diesen geformte Online-Umgebungen den Informationskonsum, die Informationsverarbeitung (z. B. automatische versus kontrollierte Prozesse) und die politische Meinungsbildung (z. B. Extremisierung, Polarisierung) von verschiedenen Individuen beeinflussen. Die Verbreitung von "Fake News", die Entstehung von "Filterblasen" oder "Echokammern" sowie die Folgen dieser Phänomene sind Beispiele für Forschungsthemen, die das Team interessieren. Zur Erforschung dieser Themen kombinieren wir Selbstauskünfte, experimentelle Daten und digitale Datenspuren.

 

Wenn Sie daran interessiert sind:

  • Ihre Forschungsfähigkeiten zu verbessern
  • ein tieferes Verständnis für die oben genannten Themen zu erlangen
  • einen Beitrag zu aktuellen Forschungsprojekten zu leisten - von der Planung bis zu statistischen Analysen und der Interpretation der Ergebnisse
  • praktische Erfahrungen in diesem Forschungsbereich zu sammeln
  • in einer kleinen, offenen und freundlichen Forschungsgruppe zu arbeiten

und Sie:

  • einen Hintergrund in Psychologie, Kognitions-, Sozial- oder Politikwissenschaften haben oder Kenntnisse in einem dieser Bereiche besitzen
  • Interesse an den Auswirkungen von intelligenten Systemen und Online-Umgebungen haben
  • kein Problem im Umgang mit verschiedenen Datentypen haben (z. B. Umfragen, Experimente, digitale Spuren)
  • mit verschiedenen Methoden der Inferenzstatistik vertraut sind (lineare modelle, ANOVA, Mehrebenenmodellierung, SEM, etc.)

Nehmen Sie bitte Kontakt mit uns auf und senden Sie Ihre Bewerbung unter Angabe Ihrer Motivation, Teil des Teams zu werden, sowie Ihrer Kenntnisse und Ihres Interesses an diesem Forschungsgebiet und Ihrer bisherigen Erfahrungen in Forschungsprojekten an cdpsych@iris.uni-stuttgart.de

 

Wenn Sie Fragen zu den Positionen in unserem Team haben, wenden Sie sich bitte ebenfalls an Dr. Cornelia Sindermann.

 

Wir freuen uns, von Ihnen zu hören!

Zum Seitenanfang