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Being socially excluded seriously threatens individuals’ need to belong and emotional well-being. This article investigates to what extent different coping strategies help overcome these detrimental effects: thinking about real-life friends/enemies (i.e., orthosocial relationships, OSRs) and thinking about (dis)liked media characters (i.e., parasocial relationships, PSRs). Across three experiments (NPilot = 129, NStudy1 = 132, NStudy2 = 855), we first induced social exclusion using a virtual ball-tossing game. Afterward, we manipulated different relationship types and valences and compared them to non- or less-relational control conditions. As hypothesized, belongingness and emotional well-being increased from pre- to post-coping. This effect was fully mediated by perceived relationship closeness to the respective person(a). Highlighting that PSRs represent more than surrogates (i.e., secondary replacements of OSR), both relationship types did not differ in coping effectiveness. Moreover, positive relationships were more effective in fulfilling both coping goals than negative ones.

Being socially excluded seriously threatens individuals’ need to belong and emotional well-being. This article investigates to what extent different coping strategies help overcome these detrimental effects: thinking about real-life friends/enemies (i.e., orthosocial relationships, OSRs) and thinking about (dis)liked media characters (i.e., parasocial relationships, PSRs). Across three experiments (NPilot = 129, NStudy1 = 132, NStudy2 = 855), we first induced social exclusion using a virtual ball-tossing game. Afterward, we manipulated different relationship types and valences and compared them to non- or less-relational control conditions. As hypothesized, belongingness and emotional well-being increased from pre- to post-coping. This effect was fully mediated by perceived relationship closeness to the respective person(a). Highlighting that PSRs represent more than surrogates (i.e., secondary replacements of OSR), both relationship types did not differ in coping effectiveness. Moreover, positive relationships were more effective in fulfilling both coping goals than negative ones.

In the last 10 years, many canonical findings in the social sciences appear unreliable. This so-called "replication crisis" has spurred calls for open science practices, which aim to increase the reproducibility, replicability, and generalizability of findings. Communication research is subject to many of the same challenges that have caused low replicability in other fields. As a result, we propose an agenda for adopting open science practices in Communication, which includes the following seven suggestions: (1) publish materials, data, and code; (2) preregister studies and submit registered reports; (3) conduct replications; (4) collaborate; (5) foster open science skills; (6) implement Transparency and Openness Promotion Guidelines; and (7) incentivize open science practices. Although in our agenda we focus mostly on quantitative research, we also reflect on open science practices relevant to qualitative research. We conclude by discussing potential objections and concerns associated with open science practices.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

Video game streaming platforms have reached high popularity within the last years. As one of these popular platforms, Twitch provides users with the opportunity to participate in several gaming situations: They can simultaneously watch in-game actions, the streamer playing the game, and additionally, they can interact with the streamer and other viewers by using the chat. In an online survey, the current study explored how individuals (N = 548) experience media enjoyment when using Twitch. Findings indicate that social aspects of using Twitch predominantly contribute to enjoyment. Approaches toward the phenomenon of video game streaming as well as implications for research on the usage of second screens and Social TV are discussed.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories - Hedonism, Actors’ Performance, and Narrative - and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

Video game streaming platforms have reached high popularity within the last years. As one of these popular platforms, Twitch provides users with the opportunity to participate in several gaming situations: They can simultaneously watch in-game actions, the streamer playing the game, and additionally, they can interact with the streamer and other viewers by using the chat. In an online survey, the current study explored how individuals (N = 548) experience media enjoyment when using Twitch. Findings indicate that social aspects of using Twitch predominantly contribute to enjoyment. Approaches toward the phenomenon of video game streaming as well as implications for research on the usage of second screens and Social TV are discussed.

In the last 10 years, many canonical findings in the social sciences appear unreliable. This so-called “replication crisis” has spurred calls for open science practices, which aim to increase the reproducibility, replicability, and generalizability of findings. Communication research is subject to many of the same challenges that have caused low replicability in other fields. As a result, we propose an agenda for adopting open science practices in Communication, which includes the following seven suggestions: (1) publish materials, data, and code; (2) preregister studies and submit registered reports; (3) conduct replications; (4) collaborate; (5) foster open science skills; (6) implement Transparency and Openness Promotion Guidelines; and (7) incentivize open science practices. Although in our agenda we focus mostly on quantitative research, we also reflect on open science practices relevant to qualitative research. We conclude by discussing potential objections and concerns associated with open science practices.

The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research has found and validated eight dimensions. Given the large-scale evaluative information that is available in online users’ comments in movie databases, it seems likely that what online users write about movies may enrich our knowledge about SMEC. As a first fully exploratory attempt, drawing on an open-source dataset including movie reviews from IMDb, we estimated a correlated topic model to explore the underlying topics of those reviews. In 35,136 online movie reviews, the most prevalent topics tapped into three major categories—Hedonism, Actors’ Performance, and Narrative—and indicated what reviewers mostly wrote about. Although a qualitative analysis of the reviews revealed that users mention certain SMEC, results of the topic model covered only two SMEC: Story Innovation and Light-heartedness. Implications for SMEC and entertainment research are discussed.

Besides others, subjective knowledge - the feeling of being knowledgeable - as well as the complexity of a communicated content have been shown to have an impact on different behavioral outcomes - also in the field of consumer choices. However, it remains open how both factors influence subsequent outcomes such as information seeking, behavioral intentions, or actual choice behavior - especially related to environmental issues. With a 2 (high/low subjective knowledge) x 2 (high/low complex information) between-subjects design (N = 87), we investigated the effects of subjective knowledge and complexity of an online news text about a specific environmental topic (i.e., palm oil) on behavioral intentions, online information seeking as well as on behavioral choices. Higher subjective knowledge raised the probability to volunteer for an NGO and the duration of time spent on a palm oil-related webpage. Environmental attitudes determined the general likelihood to engage in palm oil-related web search and the number of webpages visited. Text complexity did not influence the target variables.

Besides others, subjective knowledge - the feeling of being knowledgeable - as well as the complexity of a communicated content have been shown to have an impact on different behavioral outcomes - also in the field of consumer choices. However, it remains open how both factors influence subsequent outcomes such as information seeking, behavioral intentions, or actual choice behavior - especially related to environmental issues. With a 2 (high/low subjective knowledge) x 2 (high/low complex information) between-subjects design (N = 87), we investigated the effects of subjective knowledge and complexity of an online news text about a specific environmental topic (i.e., palm oil) on behavioral intentions, online information seeking as well as on behavioral choices. Higher subjective knowledge raised the probability to volunteer for an NGO and the duration of time spent on a palm oil-related webpage. Environmental attitudes determined the general likelihood to engage in palm oil-related web search and the number of webpages visited. Text complexity did not influence the target variables.

As the Internet provides massive amounts of heterogeneous information, people may perceive this medium as challenging. The difficulty to evaluate and select relevant information increases as more and more diverse sources and content are available. Information overload (IO) may be the consequence. The research presented here gives a first comprehensive overview of possible indicators for IO in the context of online news exposure. Based on an online survey (N=419), we found that younger people with less information-seeking self-efficacy were more susceptible to experience IO. Additionally, we identified motivations for media consumption and information retrieval strategies in the Internet that imply IO. With our results, we contribute to a further understanding of IO and provide an important basis for future research needed to face the challenges resulting from the rising media diversity.

Interest in the meaningful sides of media entertainment has blossomed over the last decade, with numerous scholars examining how certain media content can enhance social good and well-being. Because social scientific work in this area is relatively new and is rapidly evolving, numerous conceptualizations of meaningful media experiences have been introduced. In this paper we argue for the importance of recognizing a unique form of media experience that causes us to look beyond our own concerns, to recognize moral beauty, and to feel unity with humanity and nature-what we label here as "self-transcendent media experiences."

As the Internet provides massive amounts of heterogeneous information, people may perceive this medium as challenging. The difficulty to evaluate and select relevant information increases as more and more diverse sources and content are available. Information overload (IO) may be the consequence. The research presented here gives a first comprehensive overview of possible indicators for IO in the context of online news exposure. Based on an online survey (N=419), we found that younger people with less information-seeking self-efficacy were more susceptible to experience IO. Additionally, we identified motivations for media consumption and information retrieval strategies in the Internet that imply IO. With our results, we contribute to a further understanding of IO and provide an important basis for future research needed to face the challenges resulting from the rising media diversity.

Interest in the meaningful sides of media entertainment has blossomed over the last decade, with numerous scholars examining how certain media content can enhance social good and well-being. Because social scientific work in this area is relatively new and is rapidly evolving, numerous conceptualizations of meaningful media experiences have been introduced. In this paper we argue for the importance of recognizing a unique form of media experience that causes us to look beyond our own concerns, to recognize moral beauty, and to feel unity with humanity and nature-what we label here as "self-transcendent media experiences."

Within Hofstede’s framework of individualistic and collectivistic cultures, this contribution examines measurement equivalence of hedonic and eudaimonic entertainment motivations in two different cultures, namely Germany representing a more individualistic culture (N = 180) and Turkey representing a more collectivistic culture (N = 97). By means of a multi-group confirmatory factor analysis, we could secure configural invariance for both hedonic and eudaimonic entertainment motivations across the German and Turkish sample. Metric invariance, however, could only be obtained for hedonic, but not for eudaimonic motivations. Scalar invariance was obtained for neither of the two entertainment motivations. The study points to the importance of equivalence testing when conducting cross-cultural research.