On September 9th, some media revealed the schedule of the TV series " Please ", which is expected to be exclusively launched on iQiyi around September 19. Up to now, "Please Jun" has released a variety of posters and trailers, and has entered the list of TV dramas to be broadcast on iQiyi. However, the TV series has not yet been officially announced (the article was published). On the platform side, the play is still in the state of reservation. The current number of appointments is close to 2 million.
TV series "Please Jun" starring Li Qin and Ren Jialun . Both are popular celebrities. The management of this TV series is iQiyi. This is very noteworthy. It was mentioned in the previous official press release of the show that this TV series has always been a major S-level production on the platform side. At present, the number of reservations of nearly 2 million people is enough to make the show show a situation before it is broadcast. The owner of
and the platform side are the same main body. The reason why it is worth noting is that the current platform side often points out that they have mastered the audience's preferences in the broadcast of TV series, especially the preferences at the level of big data. These preferences , can guide the creation of TV dramas. As the platform side, it does have a lot of big data of audiences in the process of chasing dramas. And these data, the most direct effect, is the TV series projects controlled by the platform itself. The quality of "Please King" can be regarded as a test of whether the platform's big data guides the creation of TV dramas.
There has been controversy in the industry as to whether the big data of the broadcasting platform can guide the creation of TV series. The platform side has strong words, and of course, it will give pointers to the creators of TV series. But at the same time, some TV drama creators who do not have much right to speak, especially the screenwriters, have always scoffed at the platform's so-called big data that can guide creation, and believe that those so-called data are just lagging behind. The creation of TV series must be ahead of its time, otherwise, it can only be cocooned in big data.
is based on this controversial situation, and the editor pays more attention to the quality of this "Please King". "Please King" is a work under the guidance of proper platform big data in terms of various sales. On the actor level, Li Qin and Ren Jialun are obviously analyzed by big data broadcast of TV series. The fan bond between the two of them is also very high. The degree of fan adhesion here especially refers to their fans willing to pay for members of the platform, willing to pay for direct access to the finale, willing to buy peripherals of TV series, and so on.
In terms of subject matter, this TV series is obviously also catering to the audience who are willing to pay. The play described itself in the press release: The one-sentence story of
's "Please King" is: It tells the love story of the thousand-year-old god of war Lu Yan and the righteous female village owner Yu Dengdeng. From this sentence alone, everyone can feel the "unusual" of its background age and plot. It combines various dramatic elements such as love, age, fantasy, , and Xianxia.
Obviously, TV dramas with so many "drama" elements must have been guided by the platform's big data. The platform launches whatever the audience likes to watch, and there seems to be nothing wrong with it. Only based on the content of the trailer of "Please King", this TV series mainly focuses on ancient costumes and light comedies, and has a very good degree of sweetness. For fans who like to watch stars fall in love, it is really "can't." more enjoyable." Based on these elements of interest, I also think that this TV series is a properly broadcast digital hit. As for the director of
, it is Zheng Weiwen . " Chen Qingling ", " Yuzhaoling " and other TV series are all directed by this director. Obviously, only from the perspective of TV drama big data, Zheng Weiwen is also a very good director candidate. After all, he has two really good broadcast dramas. As for big data, it’s all about the explosion of money. I have never heard that the platform's big data can guide the creation of classic plays like " Awakening Age ".
However, the choice of screenwriters under the guidance of the platform's big data seems to be weaker. It stands to reason that with such a strong platform background support, such a strong big data content, such a strong actor team, such a strong theme, content, and elements, Aspect configuration, should find a few very powerful screenwriters to create. After all, the script, the script, the script. However, at present, the screenwriters found by the platform do not seem to be so powerful.
has not been able to find out who the screenwriter of the play is in some data platforms. In the content of some of the posters that have been announced for the play, it is not reflected who the screenwriter is. Fortunately, there have been a lot of press releases for this TV series. The content of the release from Beiqing.com shows:
The script of this drama was created by the Great Fantasy Script Center, script director Fang Qiang Qiang , screenwriters Zhang Xiujie, Rong Shu , co-screenwriters Wang Xiaoxiao and Ren Ziwei. Four writers were mentioned in the
press release. The screenwriter Zhang Xiujie has worked in "Pride and Prejudice" and "Back to the Ming Dynasty as a Prince". The audience rating of the former is 4.7 points, and the latter is 4.1 points. Only from the perspective of audience ratings, the level of the lead writer of "Please Jun" is worrying. The other three screenwriters have not found their representative works that have been launched on the data platform, and cannot infer their creative level.
Based on the above, my feeling about "Please King" is that the quality needs to be analyzed calmly, but the broadcast numbers will definitely not be weak. The platform's big data has been applied to the creation of TV dramas. What. Might as well, wait for "Please Jun" to go online and wait for it to become popular. (Text / Ma Qingyun)
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