Objects in the library are identified by amedia_key. Media keys are string values in the following format:13_875943225764098048, for example. In the Ads API, we are moving toward using media keys for all media.
Previously, when you requested video view metrics using the enterprise Engagement API on Tweets that are older than 1800 days old, we delivered a zero value without much context. Today, we will start delivering a new object in these cases called unsupported_for_video_views_tweet_ids, which will include a comma-separated list of Tweet IDs that are older than 1800 days old. You will still receive all other requested metrics for these Tweets in a separate object.
Now, Some Possible Value In Using Twitter
Today we are adding two new non-public metrics subfields, user_profile_clicks and url_link_clicks, to the Tweet object in the Twitter Developer Labs Tweet lookup endpoints. They will be returned when using the tweet.fields parameter with any of the following values: non_public_metrics, organic_metrics, or promoted_metrics.
In addition to the above change, we are adding a new field to the Account Activity API payloads to reference which subscription the activity was delivered for. This JSON object is called for_user_id and will include the subscribed user's ID who produced that activity as its value. You can see some examples of this new JSON object in our account activity objects page.
Yes, speed and portability (you can read Twitter on your cell phone) are fine, but is this super-fast echo effect such a big deal? After all, it's not like the alternative is getting your news in a letter through snail mail: other web tools are really fast, too. And does a 3-minute delay make such a difference, in most situations? I find the second point on "how many, how open" more intriguing. And it inevitably leads to:- How much more would we know about the post-cyclone situation in Myanmar today if its population had wide access to Twitter? - And just how much do different countries use Twitter? See it here (just web traffic, it doesn't include SMS, IMs, or others), East Asia doesn't seem to be so well represented outside of Japan. (For Chinese "versions" of Twitter, our friends at Virtual China point to Jiwai.de and Fanfou --and, full disclosure: they are our friends because they recently wrote a very nice post about this blog).- Right now, for quick news updates, Twitter looks like a fairly "grassroots", genuine source for the most part. But I'll take mine with a grain of salt, please. I keep on my skeptic hat and believe that, as it becomes more mainstream, the candidness and authenticity of individual reports will get mixed with marketing and interested one-sided accounts (we recently celebrated the 30th anniversary of the first spam message, remember?). - And again, after opening two dozen browser windows to catch up on the buzz today, I was soon silently begging for some help in figuring out what to read and what to skip: how do you filter who's a reliable source, or just who's simply mirroring what someone else already said? who has the time to wander around, reading dozens of blogs/twitter feeds to get an overall picture of the situation? I ended relying on BBC, Scoble, and the Online Journalism Blog among a few others. So by doing this, am I not making Scobler and other Twitterers more "mainstream" in a way, just like newspaper/news network editors earned that trust in the past from audiences of millions --but are now criticized for not being fast enough, or not including enough voices?- Going back to development issues, I believe that for closed groups working coordinately on disaster relief, the benefits of using Twitter can be huge --like getting on a distribution list by phone, only easier and more practical. And I wonder if you know of any groups/teams who have used Twitter or a similar tool to communicate this way. Or --not being an expert myself-- if you can think of other, established ways of keeping in touch and coordinating efforts that could perhaps be improved by using Twitter instead.
It wasn't just Tesla that saw stock values slide. The stock market as a whole declined in 2022, and within the auto sector, every single automaker saw stock prices go down. Major players like General Motors and Ford fell some 40%, and startups like Rivian and Lucid dropped more than 80%.
Metadata fields and values can be entered into the Basic Search box using field operators. The field operators available for the Code of Federal Regulations are listed in the table below, along with examples for each metadata field. Using Field Operators
This article describes the design and implementation of a very simple Twitter clone written using PHP with Redis as the only database. The programming community has traditionally considered key-value stores as a special purpose database that couldn't be used as a drop-in replacement for a relational database for the development of web applications. This article will try to show that Redis data structures on top of a key-value layer are an effective data model to implement many kinds of applications.
The essence of a key-value store is the ability to store some data, called a value, inside a key. The value can be retrieved later only if we know the specific key it was stored in. There is no direct way to search for a key by value. In some sense, it is like a very large hash/dictionary, but it is persistent, i.e. when your application ends, the data doesn't go away. So, for example, I can use the command SET to store the value bar in the key foo:
What makes Redis different from other key-value stores is that it provides other operations similar to INCR that can be used to model complex problems. This is why you can use Redis to write whole web applications without using another database like an SQL database, and without going crazy.
Let's start with Users. We need to represent users, of course, with their username, userid, password, the set of users following a given user, the set of users a given user follows, and so on. The first question is, how should we identify a user? Like in a relational DB, a good solution is to identify different users with different numbers, so we can associate a unique ID with every user. Every other reference to this user will be done by id. Creating unique IDs is very simple to do by using our atomic INCR operation. When we create a new user we can do something like this, assuming the user is called "antirez":
We use the next_user_id key in order to always get a unique ID for every new user. Then we use this unique ID to name the key holding a Hash with user's data. This is a common design pattern with key-values stores! Keep it in mind.Besides the fields already defined, we need some more stuff in order to fully define a User. For example, sometimes it can be useful to be able to get the user ID from the username, so every time we add a user, we also populate the users key, which is a Hash, with the username as field, and its ID as value.
This may appear strange at first, but remember that we are only able to access data in a direct way, without secondary indexes. It's not possible to tell Redis to return the key that holds a specific value. This is also our strength. This new paradigm is forcing us to organize data so that everything is accessible by primary key, speaking in relational DB terms.
Note the same pattern again and again. In theory with a relational database, the list of following and followers would be contained in a single table with fields like following_id and follower_id. You can extract the followers or following of every user using an SQL query. With a key-value DB things are a bit different since we need to set both the 1000 is following 5000 and 5000 is followed by 1000 relations. This is the price to pay, but on the other hand accessing the data is simpler and extremely fast. Having these things as separate sets allows us to do interesting stuff. For example, using ZINTERSTORE we can have the intersection of following of two different users, so we may add a feature to our Twitter clone so that it is able to tell you very quickly when you visit somebody else's profile, "you and Alice have 34 followers in common", and things like that.
To know more about those topics please readour documentation about sharding. However, the point hereto stress is that in a key-value store, if you design with care, the data setis split among many independent small keys. To distribute those keysto multiple nodes is more straightforward and predictable compared to usinga semantically more complex database system.
From 2006 until 2010, Twitter's developer platform experienced strong growth and a highly favorable reputation. Developers built upon the public API to create the first Twitter mobile phone clients as well as the first URL shortener. Between 2010 and 2012, however, Twitter made a number of decisions that were received unfavorably by the developer community.[292] In 2010, Twitter mandated that all developers adopt OAuth authentication with just 9 weeks of notice.[293] Later that year, Twitter launched its own URL shortener, in direct competition with some of its most well-known third-party developers.[294] And in 2012, Twitter introduced stricter usage limits for its API, "completely crippling" some developers.[295][296] While these moves successfully increased the stability and security of the service, they were broadly perceived as hostile to developers, causing them to lose trust in the platform.[297]
Twitter has been an increasingly growing in the field of education, as an effective tool that can be used to encourage learning and idea, or knowledge sharing, in and outside the classroom.[458] By using or creating hashtags, students and educators are able to communicate under specific categories of their choice, to enhance and promote education. A broad example of a hashtag used in education is "edchat", to communicate with other teachers, and people using that hashtag. Once teachers find someone they want to talk to, they can either direct message the person, or narrow down the hashtag to make the topic of the conversation more specific using hashtags for scichat (science), engchat (English), sschat (social studies).[458] 2ff7e9595c
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