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My Chatbot Companion - a Study of Human-Chatbot Relationships

International journal of human-computer studies, 2021-05, Vol.149, p.102601, Article 102601

2021

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My AI Friend: How Users of a Social Chatbot Understand Their Human–AI Friendship

Human communication research, 2022-07

2022

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Social Networking Sites: Their Users and Social Implications - A Longitudinal Study

Journal of computer-mediated communication, 2012-07, Vol.17 (4), p.467-488

Brandtzaeg, Petter Bae

2012

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A longitudinal study of human–chatbot relationships

International journal of human-computer studies, 2022-12, Vol.168, p.102903, Article 102903

2022

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Towards a unified Media-User Typology (MUT): A meta-analysis and review of the research literature on media-user typologies

Computers in human behavior, 2010-09, Vol.26 (5), p.940-956

BRANDTZAEG, Petter Bae

2010

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‘My children tell me it’s so simple’: A mixed-methods approach to understand older non-users’ perceptions of Social Networking Sites

New media & society, 2017-02, Vol.19 (2), p.181-198

2017

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Why do people use ChatGPT? Exploring user motivations for generative conversational AI

First Monday, 2024-01

2024

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Understanding the new digital divide—A typology of Internet users in Europe

International journal of human-computer studies, 2011-03, Vol.69 (3), p.123-138

2011

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A Longitudinal Study of Self-Disclosure in Human–Chatbot Relationships

Interacting with computers, 2023-06, Vol.35 (1), p.24-39

2023

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Young people's use and experience of the Internet during the COVID-19 lockdown: Well-being and social support

First Monday, 2021

2021

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Time Collapse in Social Media: Extending the Context Collapse

Social media + society, 2018-01, Vol.4 (1)

2018

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Understanding Model Power in Social AI

AI & society, 2024-08

2024

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Too Many Facebook "Friends"? Content Sharing and Sociability Versus the Need for Privacy in Social Network Sites

International journal of human-computer interaction, 2010-11, Vol.26 (11-12), p.1006-1030

2010

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Transcriptomic changes in the large organs in lethal meningococcal shock are reflected in a porcine shock model

Frontiers in cellular and infection microbiology, 2022-08, Vol.12, p.908204-908204

2022

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Neisseria meningitidis accumulate in large organs during meningococcal sepsis

Frontiers in cellular and infection microbiology, 2023, Vol.13, p.1298360-1298360

2023

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A typology of social networking sites users

International journal of web based communities, 2011, Vol.7 (1), p.28

2011

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Extensive Changes in Transcriptomic "Fingerprints" and Immunological Cells in the Large Organs of Patients Dying of Acute Septic Shock and Multiple Organ Failure Caused by Neisseria meningitidis

Frontiers in cellular and infection microbiology, 2020-02, Vol.10, p.42-42

2020

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Impact of extensive antibiotic treatment on faecal carriage of antibiotic-resistant enterobacteria in children in a low resistance prevalence setting

PloS one, 2017-11, Vol.12 (11), p.e0187618-e0187618

2017

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Why People Use Social Networking Sites

Online Communities and Social Computing, p.143-152

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Future directions for chatbot research: an interdisciplinary research agenda

Computing, 2021-12, Vol.103 (12), p.2915-2942

2021

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Massive Organ Inflammation in Experimental and in Clinical Meningococcal Septic Shock

Shock (Augusta, Ga.), 2015-11, Vol.44 (5), p.458-469

2015

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Critical Roles of Complement and Antibodies in Host Defense Mechanisms against Neisseria meningitidis as Revealed by Human Complement Genetic Deficiencies

Infection and Immunity, 2010-02, Vol.78 (2), p.802-809

2010

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Finding Relevant Psychoeducation Content for Adolescents Experiencing Symptoms of Depression: Content Analysis of User-Generated Online Texts

Journal of medical Internet research, 2021-09, Vol.23 (9), p.e28765-e28765

2021

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Deep learning for prediction of depressive symptoms in a large textual dataset

Neural computing & applications, 2022, Vol.34 (1), p.721-744

2022

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Epidemic meningitis, meningococcaemia, and Neisseria meningitidis

The Lancet (British edition), 2007-06, Vol.369 (9580), p.2196-2210

2007

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My Chatbot Companion - a Study of Human-Chatbot Relationships

My AI Friend: How Users of a Social Chatbot Understand Their Human–AI Friendship

Social Networking Sites: Their Users and Social Implications - A Longitudinal Study

A longitudinal study of human–chatbot relationships

Towards a unified Media-User Typology (MUT): A meta-analysis and review of the research literature on media-user typologies

‘My children tell me it’s so simple’: A mixed-methods approach to understand older non-users’ perceptions of Social Networking Sites

Why do people use ChatGPT? Exploring user motivations for generative conversational AI

Understanding the new digital divide—A typology of Internet users in Europe

A Longitudinal Study of Self-Disclosure in Human–Chatbot Relationships

Young people's use and experience of the Internet during the COVID-19 lockdown: Well-being and social support

Time Collapse in Social Media: Extending the Context Collapse

Understanding Model Power in Social AI

Too Many Facebook "Friends"? Content Sharing and Sociability Versus the Need for Privacy in Social Network Sites

Transcriptomic changes in the large organs in lethal meningococcal shock are reflected in a porcine shock model

Neisseria meningitidis accumulate in large organs during meningococcal sepsis

A typology of social networking sites users

Extensive Changes in Transcriptomic "Fingerprints" and Immunological Cells in the Large Organs of Patients Dying of Acute Septic Shock and Multiple Organ Failure Caused by Neisseria meningitidis

Impact of extensive antibiotic treatment on faecal carriage of antibiotic-resistant enterobacteria in children in a low resistance prevalence setting

Why People Use Social Networking Sites

Future directions for chatbot research: an interdisciplinary research agenda

Massive Organ Inflammation in Experimental and in Clinical Meningococcal Septic Shock

Critical Roles of Complement and Antibodies in Host Defense Mechanisms against Neisseria meningitidis as Revealed by Human Complement Genetic Deficiencies

Finding Relevant Psychoeducation Content for Adolescents Experiencing Symptoms of Depression: Content Analysis of User-Generated Online Texts

Deep learning for prediction of depressive symptoms in a large textual dataset

Epidemic meningitis, meningococcaemia, and Neisseria meningitidis

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