not generally categorized or classified for certain age and ideological 13.uPs. One of the strengths of the memes is that memers may conunent on any political, social, cultural, and religious issue in a humorous a. satirical manner. Moreover, memes have become very popular among users due to their humorous nature and short duration. R may have very strong effect on their perceptions and opinions about different personalities and issues. So, it is import. to explore the nature and type of contents of memes and their impact on perceptions a. opinions of the users. RESEARCH OBJECTIVES • To explore the types/categories of memes. • To explore the way contents of memes are presented on social media. • To explore the impacts of contents of memes on ethical values of users. • To investigate the influence of memes on opinion of users regarding different issues and personalities. • To find out the use of memes for promotion of brands on social media. RESEARCH QUESTIONS RQ1: What are the types/ categories of memes? RQ2: How contents of manes are presented on Social Media? RQ3: How contents of mem. are having an impact on ethical values of users? RQ4: How memes influence the opinion of users regarding different issues and personalities? RQ5: How memes are used in promotion of bran. on Social Media? References Handayani, F., Sari, S.D., & Wira, R. (2016). The use of meme as a representation of public opinion in social media: A case study of

1. Data Analysis
The second research question was analyzed with the same pattern as mentioned earlier. The
research question was developed to explore the way the contents of memes are presented on
the social media platform. The contents of social media memes have various flavours for
substantial opinionated sharing. These memes are usually funny, humorous, humiliated, and
commentary based on injected criticism, and wry political or social impact. Keeping this
scenario in mind, the researcher developed categorical parent themes to answer the second
research question. There were thirty major themes presented below:
1. Actively Participated
2. Addressing
3. Affection
4. Afraid/Fear
5. Alarming
6. Angry and Scared
7. Awarding
8. Celebrating
9. Charged mob
10. Committed
11. Confidence
12. Criticizing
13. Democratic leadership
14. Disappointed
15. Discussing
16. Gloomy
17. Happily Married
18. Humorous
19. Joking
20. Making Fun
21. Missing someone
22. Overburdened
23. Pointing something
24. Sarcasm
25. Shivering with fear
26. Smartness
27. Spying
28. Supporting someone
29. Teaching
30. Trolling
All the themes were constructed as per the nature and body gestures, movements, and emotions
used in graphical memes. Two languages were found in all the memes English and Urdu. The
aforementioned themes were developed through body language and personality signifiers in
themes.

2. Figure 1
Item Clustered by Word Similarity of Content Used in Memes

3. A cluster analysis query based on word similarity of themes is employed to develop the patterns
of themes. A word tree of clusters under the classification of various memes reviewed the
bunches based on similarities. The machine algorithm precisely axial the simultaneous codes
by their group of contexts. In figure 1 the greater cluster of themes was circulated under the
last bunch (light green). There were eight themes clustered around related to trolling, awarding,
alarming, celebrating, criticizing, democratic leadership, addressing, and teaching.

5. Figure 2 explains the compared number of coded references for the content of memes based on
personality and body language. The greater content found in memes was associated with
democratic leadership and the charged mob. The visualization of the complete coding hierarchy
is presented in figure 2. The first major theme democratic leadership became the largest
coverage content area. This coding hierarchy explains the content coverage of themes. After
the first theme, the charged mob is the second larger area in visualization. While addressing
and actively participating kind of graphical images used in memes were equally circulated. The
least area covered by the theme is afraid/fear and affection.
Figure 3
In the next step, a coding matrix query was performed to demonstrate the code data view. The
themes of democratic leadership and the charged mob are greater in comparison to other
themes. The frequency of using this kind of image was greater than the others. The percentage
of coded reference count is presented in figure 3. The maximum amount of word similarities
under codes can be found with a high percentage of data. The third higher matrix was found at
addressing the king of body language used in memes.

6. Figure 4
Overview of Concept Map based on Coded Structure For Content of Memes
Figure 4 explains the busiest connected traffic identified through comparative mapping of
codes. A concept mapping query was used to explore the associated items, associations, and
coded references. This mapping query explains the coded directions and dimensionality in
connections among all the memes (50) and their themes. A massive bunch of concepts was
identified between the memes and their types being developed. The majority of code
connections were associated with those memes. Although, the interrelated links among file
classification, linear relationships, and images displayed the basic connections in the same

7. directions. But democratic leadership charged the mob and addressing changed the direction
of the wheel. Most of the links were found there in connection to mega themes and memes.