The hot word chart of the input method reflects the sharing ability of Internet users. cyrx

For many years, it has been a tradition for search engine websites to publish an annual "Hot Search List" or "Trending List." By 2010, similar lists began to appear in the input method domain. Sogou compiled an "Annual Hot Word List" based on the typing statistics of Chinese internet users in 2010. This phenomenon reflects the integration of the relationship between the internet and people, as well as the internet and traditional society. With technology and information technology, we can easily understand human thoughts, the evolution of social culture, and further draw a map of societal development.

Since there is already a "Hot Search List," why do we still need a "Hot Word List?" I became very interested in the similarities and differences between these two types of lists. Essentially, the list based on search engines reflects the "attention" of netizens, while the list based on input methods reflects their "sharing power," which have significant differences, though there is some overlap when looking at the results.

Firstly, "Attention" vs. "Sharing Power"

The intention behind searching is to "obtain information," i.e., seeking further understanding of things of interest; the intention behind typing is "sharing information," i.e., spreading interesting things to other places. Often, the objects of "attention" and "sharing power" are consistent. For example, in Sogou's list, Sister Feng ranked first among the "Top Ten Internet Figures," which not only attracts attention but also induces sharing. However, there are times when they are inconsistent. For instance, U.S. President Obama may attract a lot of "attention," but netizens' desire to share about him is not high.

Thus, through research on user search terms, what is reflected is actually an attention effect, or a bystander effect. To truly understand what netizens are thinking and doing, research based on user input terms is more direct and representative. This is the most important value of the "Hot Word List."

Secondly, Research Extensiveness: The "Hot Word List" is more powerful.

Research based on search engine keywords is actually a subset of input term research — namely, the input terms in the search box. According to Sogoo's research data, in 2010, Chinese internet users pressed keys over 27 trillion times, with a total of 10.5 trillion Chinese characters typed. Although its sample size consists of 5 million users who actively participate in the user experience plan, search is just one of the services it connects to. In addition, it includes IM, microblogging, SNS, forums, and other sharing channels. This makes its research scope wider and the generated data more convincing.

From the perspective of market share, taking Baidu as an example of search engines, Baidu's latest market share is approximately 80%, which is roughly equivalent to the market share of Sogou Input Method. Statistics based on these two services should be the most objective and advantageous compared to competitors.

Thirdly, Research Depth: The "Hot Word List" is closer to users.

Comparing the "Hot Search List" and the "Hot Word List," one of their most important similarities is that through these lists, we can interpret the focus of the netizen group. Since the netizen group has become the backbone of this society, through these lists, we can understand the pulse of societal development changes. Clearly, compared to search, input is closer to the user and is the first step for users to enter the internet. To understand a group, one must delve into them to allow the "truth" to surface.

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