Social Media Algorithms

social media marketing

PDF Publications Small Business Marketing Social Media Algorithms:

Ever wonder how and why every application behaves the way it does ? Can you turn interest into cash by understanding how algorithms work, and build marketing based on the fundamentals of Google, YouTube, TikTok, and Instagram ? Analysts do research, so can you. The work has already been done, all you have to do is read it.

Keywords: instagram, google, instagram algorithm, tiktok algorithm, database algorithm, mobile internet, short video industry, in-feed ads, logistic function, comparable company analysis, content analysis, short videos, social media, learning and sharing skills, user studies, page rank

Description and highlights of the research links:
Social network marketing is becoming a popular marketing strategy for many business people. Follow after the well-known social media network such as Facebook and Twitter, Instagram has joined in the trend in 2010 and provided another favorable marketing platform for marketers to interact with their customers. Instagram is a worldwide used social media network, which has been used as a marketing tool by many global business companies. It is a significant marketing tool that allows business communication to take place. Through Instagram, marketers are able to interact with their customers by sharing photos and videos and leaving comments as a way of sharing information; receiving comments and likes as a way of gaining feedback from customers. In this paper, discussion on how Instagram can be used as a marketing tool in social network marketing will be done.
Instagram is currently the most popular social media app among young people around the world. More than 70% of people between the ages of 12 and 24 are Instagram users.
Ranging from a few seconds to a few minutes, short videos have become a popular form of learning and sharing creative skills such as drawing, photography, and crafting. Short videos in social media platforms are reshaping the experience of learning creative skills by providing visually rich instructional materials and communication features to question and comment on those materials.
User interviews complement the findings from the quantitative user data to identify the gap between user behavior and expectation in practicing and sharing drawing skills in short-video sharing platforms. The multi-dimensional data about user behaviors and expectations are synthesized into five different personas and user journey maps, leading to the discussion of design recommendations to support creative practice in short video sharing platforms.
TikTok optimizes the user experience in the aspects of UCD design, content production and form innovation, personalized service. In terms of user experience, TikTok has optimized the experience in terms of interface design, human-computer interactive, UGC and PGC and OGC content production model, content micro narrative modes and recommended algorithm technology based on big data, which enhanced user loyalty.
YouTube represents one of the largest scale and most sophis- ticated industrial recommendation systems in existence.
In conjugation with other product areas across Google, YouTube has undergone a fundamental paradigm shift to- wards using deep learning as a general-purpose solution for nearly all learning problems.
The YouTube algorithm is a combination of programmed directives from engineers along with learned behaviors that have evolved through the opaque process of machine learning which makes the algorithm’s directives and programming hard to understand.
Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.
Google’s search engine i.e Google’s PageRank is one of the biggest search engines with 67% market worldwide but its algorithm is unknown. Though, Bing, Yahoo also holds good amount in search engine market but are far behind Google. Similarly, in China Baidu holds 59% of search engine market.

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