When would the Baijia account's article be published, and when would it receive more recommendations and views?
The number of recommendations and reading of articles on the Baijia account was usually related to the time of publication. The articles at different times might receive different readers 'attention and reading preferences. Generally speaking, it's easier to get high recommendations and reads when you post in the morning and evening because these are the working hours of most people and readers are more likely to read news and articles on the platform. In addition, according to the readers 'habits, some time periods might be more suitable for publishing novels, such as bedtime reading time or work lunch break. Therefore, in order to obtain a higher number of recommendations and reading, one could create and publish articles according to different reader groups and reading periods.
Baijia account had more than 40,000 recommendations, but only 3000 views. Was that normal?
It depended on the genre and the reader group. If the novel was very popular and had a large readership, there might be a situation where the number of recommendations was high but the number of readers was low. On the other hand, if the novel was not very popular and the reader base was relatively small, there might be a situation where the recommendation rate was low but the reading rate was high. In addition, the number of recommendations for Baijia was calculated based on many factors, such as the quality of the novel, reader ratings, historical reading, and so on. Therefore, a high recommendation rate did not necessarily mean that the novel was very popular, and a low reading rate did not necessarily mean that the quality of the novel was bad. In this case, he could try to read more novels to understand the feedback and comments of readers in order to better create and improve the quality. At the same time, he could also pay attention to the recommendations of other media platforms to find better creative opportunities.
Baijia account had more than 40,000 recommendations, but only 3000 views. Was that normal?
It depended on the genre and the reader group. If the quality of the novel was high but there were few readers, then it was normal for the number of recommendations to be low. If the quality of the novel was low but the readership was large, the low number of recommendations might affect the spread of the novel. Therefore, the author should consider improving the quality of the novel and attracting readers to increase the number of recommendations and readers.
The Baijia account changed its field. Would the original article's removal affect the index?
If the original article contained content related to the field after the Baijia account changed, deleting these contents may have an impact on the index. This was because the quality and influence of the content in the Hundred Family Index complemented each other. If the original article contains content related to the new field, then this content may be seen as a supplement to the index value rather than a factor affecting the index. However, if the original article contains content that is not relevant to the new field, deleting this content may have a negative impact on the index. This is because such content may be seen as weakening the value of the index and thus reducing the author's contribution to the field. Therefore, if the author wants to delete the article and does not want to affect the index, he should try to delete the content that is not related to the new field. If the content could not be deleted, the author might need to readjust the content to better adapt to the new field.
Baijia account has been recommended but there are no views. Why?
Sorry, I'm just a person who loves reading novels. I can't directly obtain the recommended reading data of Baijia. However, generally speaking, there might be several reasons for not reading: 1. The content is not attractive enough: If the recommended content is not of high quality or the subject matter does not match the reader's interest, then they may not have the motivation to open the article. 2. The article was published at the wrong time: If the article was published before the readers read it, they might have missed the opportunity to read it. 3. Inaccurate reading data: Sometimes reading data may be affected by many factors such as platform visits, user activity, etc. Therefore, there may be errors. If you want to increase the readership of the article, you can consider improving the quality of the article, choosing the right topic and time to publish, and improving the structure and content of the article.
When should I publish my article on Baijia?
To choose the right time to publish an article on Baijia, many factors needed to be considered, including the reading volume of the article, the reader group, the search engine algorithm, and so on. Generally speaking, it would be better to publish an article in the morning or evening. Because many people worked in the morning and evening, it was easier for readers to see articles published during this time. At the same time, the search engine algorithm would also update the article at this time to better present the article. Of course, the specific time period to publish the article would depend on the specific situation. If the article is about a public topic, it is recommended to choose a relatively stable time period such as weekends or holidays. If the article is about personal life, you can choose a more flexible time to arrange it according to your personal preferences and work situation. Choosing the right time to publish an article was one of the important measures to increase the exposure of the article. It is suggested that you can choose an appropriate time period to publish the article according to the type of article and the target reader group.
How to choose the three tags when posting on the Baijia account
The choice of the three tags should be based on the theme and style of the article. Here are some common suggestions: 1 The choice of tags should be related to the topic of the article. If the article is about history, culture, philosophy, etc., then the label can be selected as "history","culture","philosophy", etc. If the article was about science fiction, suspense, romance, etc., then the tags could be "science fiction","suspense","romance", etc. 2. The choice of tags should be related to the style of the article. If the article was a mystery novel, the tags could be " mystery "," horror "," reasoning ", etc. If the article was a fantasy novel, the tags could be " fantasy "," magic "," fantasy ", etc. 3 The choice of tags should be based on the audience of the article. If the article was a novel for the general public, the tags could be "romance","fantasy","science fiction", etc. If the article was a novel targeted at a small group of people, the tags could be " suspense,"" history,"" philosophy," etc. When choosing a suitable tag, you should consider the theme, style, and audience of the article to choose a tag that can better summarize the article so that readers can better read and understand the article.
The article published by Baijia is the same as the article published by Sohu. Is there any relationship?
Under normal circumstances, the articles of the two platforms were related because Baijia and Sohu were both well-known Internet media platforms with a large number of loyal readers and authors. However, the specific relationship would vary according to different situations, such as the theme of the article, the style, the reader group, etc. If the article was published on both platforms and their content was similar, then they were likely to be related. However, if the articles were published on different platforms or their content was completely opposite, then they were unlikely to have a direct relationship.
The article published by Baijia is the same as the article published by Sohu. Is there any relationship?
Under normal circumstances, the Baijia account and the articles on Sohu and other websites had a certain relationship. Because search engines usually group similar texts together, these articles may appear in the search results at the same time. However, the exact connection may vary from website to website and may also differ between different search engines. Therefore, if you have any questions about the article connection of a specific website or platform, you may need to further inquire about relevant information.
Would there be any profit after the registration of the Baijia account was successful?
No, after successfully registering and becoming a Baijia account, you still need to go through a certain amount of review and certification before you can receive any benefits. During the review process, you need to submit the corresponding articles or works according to the regulations of Baijia and go through the evaluation and review of experts. If they passed the review, they could publish articles or works on the Baijia account and earn the corresponding income. However, it was important to note that the distribution of profits was not one-time but distributed in multiple times. Under normal circumstances, Baijia would distribute the income to the author according to the number of readers, likes, reposts, and other factors. Therefore, before posting, one needed to understand the income distribution mechanism of the Baijia account and prepare the corresponding materials in order to obtain better benefits.
Who knew when Dragon 3 would be published?
Dragon 3 has yet to be officially released, and the specific release date has not been officially announced. The author, Jiang Nan, had previously confirmed the release date of Dragon 3 in many interviews, but the exact date had not been officially confirmed. At present, Jiangnan is actively preparing for the publication of Dragon 3 and has begun to review and modify the work in the publishing house. However, the specific publication date still needs to wait for official news from Jiangnan and the publishing house.