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Dissecting the Meme Magic: Understanding Indicators of Virality in Image Memes* Chen Ling†, Ihab Abu Hilal‡, Jeremy Blackburn‡, Emiliano De Cristofaro∓, Savvas Zannettou⋄, and Gianluca Stringhini† †Boston University,‡Binghamton University,∓University College London,⋄Max Planck Institute for Informatics ccling@bu. edu, ... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
that an image meme that is poorly composed is unlikely to be re-shared and become viral. RH2: Subject. Our second hypothesis is that the subject de-picted in an image meme has an effect on the likelihood of the meme going viral. Previous research showed that the at-tention of viewers is attracted by the faces of charac... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
Figure 1: Viral “Nick Young” series meets all the conditions of a meme in this paper 9/11 terrorist attacks, which were “parodying, mimicking, and recycling content, embedding it in visual media culture” [43]. This creation of new visual genres of expression consisted of various types of content, like catchphrases, ima... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
presented a large scale quantitative measurement of image meme dissemination on the Web, finding that small polarized communities like 4chan's /pol/ and The_Donald subreddit are particularly effective in pushing racist and hateful content on mainstream social media like Twitter and Reddit. Studies on viral marketing. Pr... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
(a) I know that feel bro (b) This is fine Figure 2: Example of number of panels: (a) single and (b) multiple. Drawing from research in a number of fields, we identify a number of elements ( “features” ) that are potentially char-acteristic of image meme virality and that can help us answer our three research hypotheses. ... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
(a) (b) (c) Figure 3: Type of images: (a) photo, (b) screenshot, and (c) illustration (a) (b) (c) Figure 4: Scale: (a) close up, (b) medium shot, and (c) long shot. Medium shot: a shot that shows equality between sub-jects and background, such as when the shot is “cutting the person in half” (e. g., Figure 4b). Long sh... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
(a) (b) (c) Figure 5: Examples of movement: (a) an image that includes physical movement, (b) an image that combines physical movement and causal movement, (c) an image that contains physical movement, emotional movement, and causal movement. (a) (b) (c) (d) Figure 6: Subject of memes: (a) object, (b) character, (c) sc... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
(a) (b) (c) (d) (e) (f) (g) Figure 7: Attributes of the subject: (a) Facial expression, (b) posture, (c) poster, (d) sign, (e) screenshot, (f) scene, and (g) unprocessed photo. (a) (b) (c) Figure 8: Emotion: (a) positive, (b) negative, and (c) neutral. (a) (b) Figure 9: Examples of image memes with: (a) no words, and (... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
(a) (b) Figure 10: (a) The meme “manning face” as an example of “hu-man common” (b) The meme “happy merchant” as an example of “cultural specific” meme ful memes are particularly likely to be re-shared, especially by polarized communities [92], we further categorize culture specific memes into hateful, racist, and politi... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
Feature Label Fleiss Feature Label Fleiss F. 1 Number of panels F. 6 Attributes of subject A single panel 0. 958 *** Facial expression 0. 709** Multiple panels 0. 958 *** Stationary pose/posture 0. 649 ** F. 2 Image type Poster 0. 674 ** Photo 0. 926 *** Sign 0. 640 ** Illustration 0. 947 *** Screenshot 0. 933 *** Scre... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
Classifier AUC std acc precision recall f1-score Random Forest 0. 87 0. 13 0. 98 0. 98 0. 98 0. 98 Ada boost 0. 85 0. 11 0. 91 0. 92 0. 91 0. 91 KNN 0. 83 0. 10 0. 98 0. 98 0. 98 0. 98 SVM 0. 81 0. 10 0. 71 0. 75 0. 69 0. 70 Logistic regression 0. 81 0. 10 0. 77 0. 77 0. 77 0. 77 Gaussian Bayesian 0. 77 0. 18 0. 69 0. 7... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
also finds that image memes that contain a facial expressions (both positive and negative) are more likely to go viral, as well as those images where the character has a particular posture. This confirms that the subjects of an image do play a big role in whether the image meme will go viral, confirming RH2. RH3: Audience... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
Reddit Twitter Meme #Posts (%) Meme #Posts(%) Manning Face 12,540 (2. 2%) Roll Safe 55,010 (5. 9%) That's the Joke 7,626 (1. 3%) Evil Kermit 50,642 (5. 4%) Feels Bad Man/ Sad Frog 7,240 (1. 3%) Arthur's Fist 37,591 (4. 0%) Confession Bear 7,147 (1. 3%) Nut Button 13,598 (1,5%) This is Fine 5,032 (0. 9%) Spongebob Mock ... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
(a) Manning Face (1st) (b) Fake CCG Cards (10th) Figure 14: Top memes on Reddit. (a) Original Version (b) Popular Derivative Figure 15: Top meme on Twitter: Roll Safe. a likely explanation of why it is not captured by our model. Overall, these three case studies show that, although our codebook and models were develope... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
As part of future work, we plan to extend our analysis to image memes posted on multiple platforms. In particular, it would be interesting to understand how the characteristics and backgrounds of different communities influence the vi-rality of image memes posted on them, as well as to inves-tigate how viewers with diff... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
[30] D. W. Hosmer Jr, S. Lemeshow, and R. X. Sturdivant. Applied Logistic Regression. John Wiley & Sons, 2013. [31] M. Indian and R. Grieve. When Facebook is easier than face-to-face: Social support derived from Facebook in socially anxious individuals. Personality and Individual Differences, 59, 2014. [32] L. Itti and... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
keting, 23(12), 2006. [73] S. Sprecher, S. Treger, J. D. Wondra, N. Hilaire, and K. Wallpe. Taking turns: Reciprocal self-disclosure promotes liking in ini-tial interactions. Journal of Experimental Social Psychology, 49(5), 2013. [74] N. B. Stutts and R. T. Barker. The use of narrative paradigm theory in assessing aud... | Dissecting the Meme Magic- Understanding Indicators of Virality in Image Memes.pdf |
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