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The voting feature is a common element across many websites, but making it stand out depends on the target audience and the overall positioning of the platform. It's also closely tied to the official strategy and direction of the website.
There are two main types of voting: browsing-based and participation-based.
1. Browsing-type Voting (Display Results Immediately) This approach offers a smoother browsing experience, allowing users to quickly scan through multiple votes and see the results right away. It's ideal for users who want to get information fast without getting involved in the process.
2. Participation-type Voting (Hide Results Until After Voting) This model encourages deeper engagement. Users aren't influenced by existing results, which makes their vote more meaningful. Under similar conditions, this method can lead to higher participation rates because users are motivated to take part and then check the final outcome. This not only increases the number of participants but also builds a larger and more active user base over time.
Looking back, Netease's Personal Center changed from a direct display model to a hidden result model. After the change, the voting volume increased, according to surface data. However, there’s no clear comparison of views before and after the update. The decision impacts both users who just browse and those who actively participate, so data comparison is essential for understanding the real impact.
Of course, choosing between these two models isn’t straightforward. For example, Kaixin.com opted for browsing-type voting, while QQ Space chose participation-based voting. These choices align with the different user demographics of each platform, which in turn affects how visible and effective the voting features are.
Visibility is relative. I believe that the popular voting features on Kaixin and QQ Space are both successful, as they match the preferences of their respective user groups. The key lies in understanding what your users like and how they interact with content.
When deciding between participation and browsing modes, it's important to consider user habits. It's not always about lowering participation costs—especially for busy professionals who value efficiency. In contrast, platforms like QQ Space cater to users with more free time, making participation-type voting more suitable. These users are more likely to engage in detailed interactions and spend time reading and voting.
Regarding popular voting and content attributes, the type of users you attract often shapes the nature of the voting. Without external influence, the dominant user group determines the content style. For instance, Kaixin’s popular votes tend to appeal to white-collar workers, while QQ Space's voting options resonate more with younger generations, such as the 90s-born users.
However, if you don’t have a clear understanding of your user base, it’s hard to predict what kind of voting will be effective. Once you have enough data on your core users, the decision becomes much clearer and more strategic.
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