UC media lab is a data product based on the massive users searching, browsing, reading, sharing and other actions on the UC browser, sharing the date to the content creators through data extraction and analysis, and to guide the content creators what to write and help them to write better through the big data.
UC media lab is committed to service each creator in the content eco-system, including content creators, journalists, advertisers, markets and brands and so on through the rich and timely data, to empower the UC content ecosystem with data.
Each time the user searches, browses, clicks, shares, collects and comments these actions constitutes the data base of the UC media lab. These are our valuable data assets and we share this data to feedback every content producer on the UC.
There are three major function modules of UC media lab: What’s hot, Data report and Hot word Search.
What’s hot tells you what to write through the hotspot data inside and outside the UC.
Data report presents the data report produced by UC media lab. From here, you can see how the data of UC media lab can be used and to find the value of the data.
After you have determined the theme of your articles or video, or still in hesitation maybe you need the help of the Hot word search.
You can enter the topic (word) you want to write in the search box, to get more relevant data of the keyword, such as popularity index (including searching index and news index), popular content, user portrait, related keywords. These will help though the richer and more dimensional data for you.
Registration and login
Register to log in to https://trends.ucweb.com/, to register your account. If you have an UC account, please sign in to start.
2.1 Hot word analysis
Take the word “IPL” as an example, During the “IPL”, log into the UC media Lab and enter the“IPL” in the searching box:
Then, entering the data page:
The data of each keyword consists of 5 sections:
Popularity index, hot content, hot media, related keywords and user portraits.
Search in specific conditions, such as specific time, regions and category.
For every keyword, you can limit the result to specific time, regions and category. For example, after you input the keyword “cricket”, select 20180501-20180507, Bengaluru, sports.
Supports data queries up to 3 months; the vertical class covers all vertical classes of UC information flow;
The city covers all cities in India.
2.2 Data dimension
Popularity index is made up of a keyword's news index and search index.
Search index：It is weighted by the search PV of a keyword on the UC browser and the number of clicks on the keyword-related sites.
News index：It is weighted by the number of the articles on a keyword and the engagement of these articles in which reading, sharing, likes and comments are counted.
Hot Content shows the most popular content related to the keywords including articles, albums and videos.
The contents are listed from high popularity to low. The number showed can be choose from 10, 20 and 50.
Hot media shows the media ranking related to the keywords providing a way to see the distribution of keywords-related content in different media.
Related keywords consist of related keywords in articles and related words in search.
Related words in articles: It refers to the words that appear frequently with a keyword in the news.
Related words in search: It refers to the PV of the words that along with the search of a keyword.
User Profile shows the characteristics of the users who like to read the keywords. These characteristics include geographical distribution, time distribution, interested tags , keywords and cellphone models etc. Providing you a convenient way to know the user’s interested points.
Growth index：The variation of the news index of a keyword in a specified time interval.
Hot Index: Calculated based on articles readings, interaction, likes and fans conversion rate.
Fast-growing Index: Calculated on the growth of the overall readings and the number of fans of media in a specified time interval.
Index point: The calculation of index point is evaluated and analyzed in five dimensions including: Quality, Influence, Interactiveness, Professionalism and Activeness.
Quality refers to the assessment of the overall quality of creation and pass rate of articles.
Influence refers to the assessment of followers of account and readers of content.
Interactiveness refers to creator's interaction relationship with his/her followers including comments, sharing and replying to comments apart from simple creation.
1). Comment: Only the comment that readers have posted in the past 30 days are counted. Comments from author are not included. And some invalid comments are filtered out such as unrecognized, advertising, similar, porn, violent, fake, vulgar.
2). Reply to comments: Not the number of times the author replies, but the number of comments from readers that author has replied in the past 30 days.
Professionalism refers to the assessment of both originality of content and vertical creation capability.
Activeness refers to the enthusiasm of creation and amount of creations. Index point updates every day. Full points is 100.
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Copy, reproduction, publish or any using of UC media lab contents for commercial purposes is not allowed on any unauthorized website. These contents include but not limited to the logo, design styles, page layouts, texts, pictures, figures and software applications.
Authorized media and websites shall only be allowed to use these contents to the extent as authorized, and shall specify UC media lab as the source of citation.
It is introduced in the link how your personal data and privacy will be used and protected. By using our service you automatically allow UC to use your data based our privacy policies and term of UC.