Anger on the Internet: The Perceived Value of Rant-Sites

Martin, Ryan C.; Coyier, Kelsey Ryan; VanSistine, Leah M.; Schroeder, Kelly L.

doi:10.1089/cyber.2012.0130

Cited by 41 publications

(28 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…http://journal.uinjkt.ac.id/index.php/tazkiya This is an open access article under CC-BY-SA license (https://creativecommons.org/licenses/by-sa/4.0/) selain dampak jangka pendek yang ditimbulkan, berdasarkan hasil penelitian yang dilakukan Martin et al (2013) bahwa pengungkapan marah secara daring yang dilakukan secara terus menerus dapat membuat individu menjadi seseorang yang lebih pemarah dan dapat memiliki kecenderungan untuk mengekspresikan kemarahan dengan cara yang lebih maladaptif.…”

Section: -175unclassified

“…Berdasarkan definisi dari conscientiousness, bahwa individu dengan kepribadian ini memiliki kemampuan untuk menunda kepuasan. Dalam penjelasan dari hasil penelitian yang dilakukan oleh Martin (2013) bahwa individu melakukan pengungkapan marah di jejaring sosial dengan alasan untuk memuaskan perasaan mereka. Sehingga dapat diketahui bahwa individu dengan kepribadian conscientiousness cenderung untuk menekan perasaan marahnya karena ciri tersebut.…”

Section: Diskusiunclassified

“…Individu yang biasanya mengungkapkan kemarahannya di jejaring sosial, akan sering mengungkapkannya dengan cara menyinggung orang lain atau bahkan hingga merusak hubungan. Begitu pula, orang-orang yang mengoceh secara daring, akan sering mengalami masalah dengan kemarahan mereka secara luring pula (Martin, Coyier, VanSistine, & Schroeder, 2013).…”

unclassified

“…Selain sebagai bentuk dari katarsis, seperti penelitian tentang situs pengungkapan marah daring yang dilakukan oleh Martin et al (2013). Alasan mengapa individu senang mengungkapkan kemarahan di jejaring sosial, karena individu merasakan efek lebih tenang dan lega setelah dapat meluapkan amarahnya.…”

unclassified

See 3 more Smart Citations

Pengungkapan Marah di Jejaring Sosial

Safinatunnajah

Amalia²

2019

Tazkiya

View full text Add to dashboard Cite

The aim of this study was to determine the effect of the big five personality, social support, collectivismindividualism, and anonymity on expressing anger on social networking sites (SNS). This research used quantitative with multiple regression analysis methods. The samples in this study were 210 respondents who posted anger content on social networking sites, aged at least more than 18 years old. Obtained by nonprobability sampling technique. In this study, researcher adapted and collected the data with four questionnaires; the anger-out scale is from STAXI measuring instrument, Big Five Inventory (BFI), Interpersonal Support Evaluation List, and collectivism-individualism. To test the validity of the instrument, researcher was using Confirmatory Factor Analysis (CFA). The results showed there was a significant difference from the type of big five, social, collectivism-individualism and anonymity to expressing anger on social networking sites by 18.6. AbstrakTujuan dari penelitian ini adalah untuk mengetahui pengaruh tipe kepribadian big five, dukungan sosial, kolektivisme-individualisme, dan anonimitas terhadap pengungkapan marah di jejaring sosial. Penelitian ini menggunakan pendekatan kuantitatif dengan metode analisis regresi berganda. Sampel pada penelitian ini berjumlah 210 responden pengunggah perasaan marah di jejaring sosial yang berusia 18 tahun keatas. Diperoleh dengan teknik non-probability sampling. Dalam penelitian ini peneliti mengadaptasi dan memodifikasi instrumen pengumpulan data yaitu skala anger-out dalam alat ukur STAXI, Big Five Inventory (BFI), Interpersonal Support Evaluation List, dan kolektivisme-individualisme. Uji validitas instrument dilakukan dengan menggunakan Confirmatory Factor Analysis (CFA). Hasil penelitian menunjukkan bahwa terdapat pengaruh yang signifikan dari tipe kepribadian big five, dukungan sosial, kolektivismeindividualisme, dan anonimitas terhadap pengungkapan marah di jejaring sosial yakni sebesar 18,6.Kata kunci: Pengungkapan marah, tipe kepribadian big five, dukungan sosial, kolektivisme-individualisme, anonimitas, jejaring sosial Pendahuluan Segala kehidupan manusia saat ini bisa dilakukan di rumah hanya dengan mengakses internet. Oleh sebab itu, internet menjadi kebutuhan utama untuk menunjang kehidupan sehari-hari masyarakat saat ini. Berdasarkan hasil survei perilaku penggunaan internet yang dilakukan oleh APJII (2018), dari 171,17 juta jiwa pengguna internet, 18,9% menggunakannya untuk bermedia sosial. Media sosial merupakan sebuah media yang dimanfaatkan sebagai sarana untuk bersosialisasi yang dilakukan secara daring sehingga memungkinkan individu untuk bisa saling berinteraksi tanpa dibatasi ruang dan waktu (Rustian, 2012).Para penggunanya bisa dengan mudah berpartisipasi, berbagi, dan menciptakan isi meliputi blog, jejaring sosial, wiki, forum dan dunia virtual (Tosepu, 2018). Media sosial dapat dikelompokkan ke dalam beberapa kategori, salah satunya yaitu jejaring sosial. Jejaring sosial lebih mengacu pada situs atau website yang digunakan sebagai temp...

show abstract

Section: -175unclassified

Section: Diskusiunclassified

unclassified

See 2 more Smart Citations

Pengungkapan Marah di Jejaring Sosial

Safinatunnajah

Amalia²

2019

Tazkiya

View full text Add to dashboard Cite

show abstract

“…More surprising, perhaps, was the differences observed for both anger and sadness, which can be more difficult to understand. However, it is a quite common finding that people are willing to share anger or anger-related materials on the Web [41] and that feelings of anger might be related to the idea that dental treatment is somehow unethical in the sense that it is expensive, painful, or administered without proper consent [42,43]. Also, the motivational direction of anger is argued to be different from some other feelings in that anger is an approach-oriented emotion concerned with removal of an obstacle rather than withdrawal or avoidance from the obstacle [44,45].…”

Section: Principal Findingsmentioning

confidence: 99%

Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content (Preprint)

Johnsen¹,

Eggesvik²,

Rørvik³

et al. 2018

Preprint

View full text Add to dashboard Cite

BACKGROUND Social media provides people with easy ways to communicate their attitudes and feelings to a wide audience. Many people, unfortunately, have negative associations and feelings about dental treatment due to former painful experiences. Previous research indicates that there might be a pervasive and negative occupational stereotype related to dentists and that this stereotype is expressed in many different venues, including movies and literature. OBJECTIVE This study investigates the language used in relation to dentists and medical doctors on the social media platform Twitter. The purpose is to compare the professions in terms of the use of emotional and pain-related words, which might underlie and reflect the pervasive negative stereotype identified in relation to dentists. We hypothesized that (A) tweets about dentists will have more negative emotion-related words than those about medical doctors and (B) pain-related words occur more frequently in tweets about dentists than in those about medical doctors. METHODS Twitter content (“tweets”) about dentists and medical doctors was collected using the Twitter application program interface 140Dev over a 4-week period in 2015, scanning the search terms “dentist” and “doctor”. Word content of the selected tweets was analyzed using Linguistic Inquiry and Word Count software. The research hypotheses were investigated using nonparametric Wilcoxon-Mann-Whitney tests. RESULTS Over 2.3 million tweets were collected in total, of which about one-third contained the word “dentist” and about two-thirds contained the word “doctor.” Hypothesis A was supported since a higher proportion of negative words was used in tweets about dentists than in those about medical doctors (z=−10.47; P<.001). Similarly, tests showed a difference in the proportions of anger words (z=−12.54; P<.001), anxiety words (z=−6.96; P<.001), and sadness words (z=−9.58; P<.001), with higher proportions of these words in tweets about dentists than in those about doctors. Also, Hypothesis B was supported since a higher proportion of pain-related words was used in tweets about dentists than in those about doctors (z=−8.02; P<.001). CONCLUSIONS The results from this study suggest that stereotypes regarding dentists and dental treatment are spread through social media such as Twitter and that social media also might represent an avenue for improving messaging and disseminating more positive attitudes toward dentists and dental treatment.

show abstract

High achievers, Schadenfreude and Gluckschmerz in New Zealanders and Chinese

et al. 2022

View full text Add to dashboard Cite

The willingness to support (or denigrate) high‐profile individuals online was examined across cultures using the Tall Poppy Scale. A sample of 106 Chinese and 164 New Zealand Europeans answered an online questionnaire addressing their preference for high achievers to be rewarded or fail. Participants were asked whether they would vote to support reality TV contestants, and offered further information (about success or failure) on a debrief page. The Favour Reward scale predicted willingness to vote and support others. The Favour Fall subscale tended to predict time spent viewing achievement‐related information on a debrief page. The Chinese sample did not prefer reward of high achievers, instead favoring their fall, but spent less time per click on the debrief page, suggesting they disliked recognizing individual achievement.

show abstract

Anger on the Internet: The Perceived Value of Rant-Sites

Cited by 41 publications

References 5 publications

Pengungkapan Marah di Jejaring Sosial

Pengungkapan Marah di Jejaring Sosial

Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content (Preprint)

High achievers, Schadenfreude and Gluckschmerz in New Zealanders and Chinese

Contact Info

Product

Resources

About