Social media fatigue (SMF) related research
| Author/s | Platform | Sample | Antecedents | Outcomes | Findings |
|---|---|---|---|---|---|
| Bright et al. (2015) | 747 users in the US with ages ranging from 18 to 49 | SM confidence (SMC), SM self-efficacy (SMSE), SM helpfulness (SMH), privacy concerns (PC) | – | SMC → SMF | |
| PC → SMF | |||||
| Zhang et al. (2016) | Qzone | 525 users in China with ages ranging from under 18 to over 35 | Information overload (IO), Social overload (SO), System features overload (SFO), Dissatisfaction (D) | Discontinuous usage intention (DUI) | IO → SMF |
| SO → SMF | |||||
| SFO → SMF | |||||
| SMF → DUI | |||||
| D → DUI | |||||
| Dhir et al. (2018) | Two datasets: 1,554 and 1,144 students in India aged 12–18 years | Compulsive SNS use (CU), Fear of Missing Out (FoMO) | Depression (D) Anxiety (A) | CU → SMF | |
| SMF → D | |||||
| SMF → A | |||||
| Shokouhyar et al. (2018) | 163 Instagram users in several universities situated in Tehran (Iran) | Information overload (IO), System feature overload (SFO), Social overload (SO) | Short breaks (SB), Controlled activities (CA), Switch to other platforms (SoP) | IO → SMF | |
| SFO → SMF | |||||
| SMF → SB | |||||
| SMF → CA | |||||
| SMF → SoP | |||||
| Cao et al. (2018) | social media in general | 305 college students from Pakistan | SM Attachment (SMA), Cyberbullying Victimization (CV), Depression (DEP), Anxiety (ANXY), Moral disengagement (MD) | – | SMA → CV |
| SMA → DEP | |||||
| SMA → ANXY | |||||
| CV → DEP | |||||
| CV → ANXY | |||||
| CV → SMF | |||||
| DEP → SMF | |||||
| ANXY → SMF | |||||
| SMAxMD* → CV | |||||
| *MD is a moderator | |||||
| Sanz-Blas et al. (2019) | 342 active Instagram users from Spain aged over 18 | Overuse (O), Intrastress (I), Addiction (A) | – | O → A | |
| O → SMF | |||||
| A → SMF | |||||
| A → I | |||||
| Dhir et al. (2019) | Facebook and WhatsApp | 1,552 social media users* aged 13 to 18 *SNS=Social Networking Site *MIM = Mobile Instant Messaging | Privacy concerns (PC), Self-Disclosure (SD), Parental Encouragement (PE), Parental worry (PW), Parental Monitoring (PM), Parental Permission (PP) | Academic performance decrement (APD) | SNS |
| PC → SMF | |||||
| SD → SMF | |||||
| PW → SMF | |||||
| SMF → APD | |||||
| MIM | |||||
| PC → SMF | |||||
| SD → SMF | |||||
| PW → SMF | |||||
| PM → SMF | |||||
| SMF → APD | |||||
| Adhikari and Panda (2019) | Facebook, Twitter, both or others | 306 Indian social networking users from 18 to 51 years of age | Self-efficacy (SE), Usefulness (U), Privacy concerns (PC), Ease-of-use (EoU) | Discontinuous usage intentions (DUI) | U → SMF |
| PC → SMF | |||||
| EoU → SMF | |||||
| SMF → DUI | |||||
| Fan et al. (2020) | 331 respondents from China | Self-esteem (SE), Role conflict (RC), Privacy concerns (PC) | Control activities (CA), Short breaks (SB) Suspend usage (SU) | RC → PC | |
| RC → SMF | |||||
| PC → SMF | |||||
| PC → CA | |||||
| SMF → SB | |||||
| SMF → SU | |||||
| SMF → CA | |||||
| Malik et al. (2020) | Two datasets: 1,398 and 472 students from India | Privacy concerns (PC), Social comparison (SC), Self-Disclosure (SD), Intensity of use (IMU), Fear of Missing Out (FoMO) | Academic performance decrement (APD) | SC → SMF | |
| SD → SMF | |||||
| IMU → SMF | |||||
| SMF → APD | |||||
| Xie and Tsai (2021) | 328 respondents from China | Advertising interference (AI), Rumor dissemination (RD), Information equivocality (IE), Perceived information overload (PIO) | Discontinuous Intentions (DI) | AI → SMF | |
| RD → SMF | |||||
| IE → SMF | |||||
| AI → PIO | |||||
| RD → PIO | |||||
| IE → PIO | |||||
| PIO → SMF | |||||
| PIO → DI | |||||
| SMF → DI | |||||
| Whelan et al. (2020) | social media in general | 280 students of an Irish university | Boredom proneness (BP), Information Overload (IO), Communication Overload (CO), SM Use Intensity (UI) | – | BP → SMF |
| BP → IO | |||||
| BP → CO | |||||
| IO → SMF | |||||
| CO → SMF | |||||
| UI*→ IOxSMF | |||||
| * UI is a moderator | |||||
| Zhang et al. (2020a) | 352 respondents from China aged between 20–50 years | Information Overload (IO), Compulsive use (CU), Fear of Missing Out (FoMO), Time cost (TC), Privacy concerns (PRI), Intrinsic motivation (IM), Extrinsic motivation (EM), SM fatigue intention (IN) | SM fatigue behavior (BE) | CU → IN | |
| IN → BE | |||||
| INxEM → BE | |||||
| INxIM → BE | |||||
| IO → IN | |||||
| PRI → IN | |||||
| TC → IN | |||||
| Dai et al. (2020) | 254 students from China aged 18–35 years | Perceived information overload (PIO), Frustration (FRU), Dissatisfaction (DST) | Information avoidance intention (IAI) | PIO → SMF | |
| PIO → FRU | |||||
| PIO → DST | |||||
| FRU → SMF | |||||
| FRU → DST | |||||
| SMF → DST | |||||
| SMF → IAI | |||||
| FRU → IAI | |||||
| DST → IAI | |||||
| Pang (2021) | 566 WeChat users in mainland China | Compulsive use (CU), Information Overload (IO) | Emotional stress (ES), Social anxiety (SA) | IO → SMF | |
| SMF → ES | |||||
| SMF → SA | |||||
| Teng et al. (2021) | 452 respondents from China | System function overload (SFO), Information overload (IO), Social overload (SO), Privacy concern (PC) | Negative usage behavior (NUB) | SFO → IO | |
| IO → SMF | |||||
| SO → SMF | |||||
| PC → SMF | |||||
| SMF → NUB | |||||
| Al-Shatti et al. (2022) | Two datasets: (n = 480 from Kuwait and n = 299 from the UK) | Impression management Concern (IMC) Gender (G) | Unethical behavior (UB) | IMC → G (only in Kuwait) IMC → SMF SMF→ UB | |
| Pradhan (2022) | 309 respondents from India | Fear of missing out (FoMO) Use intensity (FBI) Compulsive use (CU) Social overload (SO) | Depression (DEP) Discontinuous use intention (DUI) | FOMO → CU | |
| CU → SMF | |||||
| SMF → DEP | |||||
| SMF → DUI | |||||
| CU → SO |
| Author/s | Platform | Sample | Antecedents | Outcomes | Findings |
|---|---|---|---|---|---|
| 747 users in the US with ages ranging from 18 to 49 | SM confidence (SMC), SM | – | SMC → SMF | ||
| PC → SMF | |||||
| Qzone | 525 users in China with ages ranging from under 18 to over 35 | Information overload (IO), Social overload (SO), System features | Discontinuous | IO → SMF | |
| SO → SMF | |||||
| SFO → SMF | |||||
| SMF → DUI | |||||
| D → DUI | |||||
| Two datasets: 1,554 and 1,144 | Compulsive SNS use (CU), Fear of Missing Out (FoMO) | Depression (D) | CU → SMF | ||
| SMF → D | |||||
| SMF → A | |||||
| 163 Instagram users in several universities situated in Tehran (Iran) | Information overload (IO), System feature overload (SFO), Social overload (SO) | Short breaks (SB), Controlled activities (CA), Switch to other platforms (SoP) | IO → SMF | ||
| SFO → SMF | |||||
| SMF → SB | |||||
| SMF → CA | |||||
| SMF → SoP | |||||
| social media in general | 305 college students from Pakistan | SM Attachment (SMA), Cyberbullying Victimization (CV), Depression (DEP), Anxiety (ANXY), Moral disengagement (MD) | – | SMA → CV | |
| SMA → DEP | |||||
| SMA → ANXY | |||||
| CV → DEP | |||||
| CV → ANXY | |||||
| CV → SMF | |||||
| DEP → SMF | |||||
| ANXY → SMF | |||||
| SMAxMD* → CV | |||||
| *MD is a moderator | |||||
| 342 active Instagram users from Spain aged over 18 | Overuse (O), Intrastress (I), Addiction (A) | – | O → A | ||
| O → SMF | |||||
| A → SMF | |||||
| A → I | |||||
| Facebook and WhatsApp | 1,552 social media users* aged 13 to 18 | Privacy concerns (PC), Self-Disclosure (SD), Parental Encouragement (PE), Parental worry (PW), Parental Monitoring (PM), Parental Permission (PP) | Academic performance decrement (APD) | SNS | |
| PC → SMF | |||||
| SD → SMF | |||||
| PW → SMF | |||||
| SMF → APD | |||||
| MIM | |||||
| PC → SMF | |||||
| SD → SMF | |||||
| PW → SMF | |||||
| PM → SMF | |||||
| SMF → APD | |||||
| Facebook, Twitter, both or others | 306 Indian social networking users from 18 to 51 years of age | Self-efficacy (SE), Usefulness (U), Privacy concerns (PC), Ease-of-use (EoU) | Discontinuous usage intentions (DUI) | U → SMF | |
| PC → SMF | |||||
| EoU → SMF | |||||
| SMF → DUI | |||||
| 331 respondents from China | Self-esteem (SE), Role conflict (RC), Privacy concerns (PC) | Control | RC → PC | ||
| RC → SMF | |||||
| PC → SMF | |||||
| PC → CA | |||||
| SMF → SB | |||||
| SMF → SU | |||||
| SMF → CA | |||||
| Two datasets: 1,398 and 472 students from India | Privacy concerns (PC), Social comparison (SC), Self-Disclosure (SD), Intensity of use (IMU), Fear of Missing Out (FoMO) | Academic performance decrement (APD) | SC → SMF | ||
| SD → SMF | |||||
| IMU → SMF | |||||
| SMF → APD | |||||
| 328 respondents from China | Advertising interference (AI), Rumor dissemination (RD), Information equivocality (IE), Perceived information overload (PIO) | Discontinuous | AI → SMF | ||
| RD → SMF | |||||
| IE → SMF | |||||
| AI → PIO | |||||
| RD → PIO | |||||
| IE → PIO | |||||
| PIO → SMF | |||||
| PIO → DI | |||||
| SMF → DI | |||||
| social media in general | 280 students of an Irish university | Boredom proneness (BP), Information Overload (IO), Communication Overload (CO), SM Use Intensity (UI) | – | BP → SMF | |
| BP → IO | |||||
| BP → CO | |||||
| IO → SMF | |||||
| CO → SMF | |||||
| UI*→ IOxSMF | |||||
| * UI is a moderator | |||||
| 352 respondents from China aged between 20–50 years | Information Overload (IO), Compulsive use (CU), Fear of Missing Out (FoMO), Time cost (TC), Privacy concerns (PRI), Intrinsic motivation (IM), Extrinsic motivation (EM), SM fatigue intention (IN) | SM fatigue behavior (BE) | CU → IN | ||
| IN → BE | |||||
| INxEM → BE | |||||
| INxIM → BE | |||||
| IO → IN | |||||
| PRI → IN | |||||
| TC → IN | |||||
| 254 students from China aged 18–35 years | Perceived information overload (PIO), Frustration (FRU), Dissatisfaction (DST) | Information avoidance intention (IAI) | PIO → SMF | ||
| PIO → FRU | |||||
| PIO → DST | |||||
| FRU → SMF | |||||
| FRU → DST | |||||
| SMF → DST | |||||
| SMF → IAI | |||||
| FRU → IAI | |||||
| DST → IAI | |||||
| 566 WeChat users in mainland China | Compulsive use (CU), Information Overload (IO) | Emotional stress (ES), Social anxiety (SA) | IO → SMF | ||
| SMF → ES | |||||
| SMF → SA | |||||
| 452 respondents from China | System function overload (SFO), Information overload (IO), Social overload (SO), Privacy concern (PC) | Negative usage behavior (NUB) | SFO → IO | ||
| IO → SMF | |||||
| SO → SMF | |||||
| PC → SMF | |||||
| SMF → NUB | |||||
| Two datasets: (n = 480 from Kuwait and n = 299 from the UK) | Impression management Concern (IMC) | Unethical behavior (UB) | IMC → G (only in Kuwait) | ||
| 309 respondents from India | Fear of missing out (FoMO) | Depression (DEP) | FOMO → CU | ||
| CU → SMF | |||||
| SMF → DEP | |||||
| SMF → DUI | |||||
| CU → SO |
Source(s): Author's own work
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