Why YouTube’s Automated Copyright Takedown System Hurts Artists
Day in and day out automated bots detect and report millions of alleged copyright infringements, which are then processed by the receiving site without a human ever looking at them. In the past we’ve covered countless false, inaccurate, and just plain hilarious DMCA claims, but YouTube’s takedown process is particularly problematic. As we have noted previously, YouTube copyright claims are in a class of their own, thanks to a one-sided notification system that has no evidentiary requirement. Nowhere was this more apparent than the Mega song takedown of late 2011, but it’s a constant problem. The main issue is that automated bots don’t understand fair use, although to be fair, it’s an area of copyright law most labels seem to want to ignore when it suits them, and one that won’t be fixed until Lenz v Universal finishes its slow trip through the courts.
In the meantime, many artists are still stuck dealing with systems that ignore significant sections of copyright law in order to keep things under lock and key, artists like Dan Bull for example. Dan, as regular TorrentFreak readers will know, is an artist that relies heavily on fair use to create his music, and he recently gave fans an idea of just how much of a pain it can be. While some of them were released after being disputed, two of them, BMG Rights Management and PRS, rejected the dispute and stand by their initial claim. It’s a situation that discourages new artists and stifles creativity. Despite the claims of the major labels, and until some actual consequences are introduced for false, inaccurate, or over-reaching claims, it’s going to harm the greater creative world, just to enable the big guys to profit.
Dan has expressed his ire at YouTube in the way he knows best, through [again NSFW] song.
Fusion HCM Cloud Bulk Integration Automation
The inbound tool is the File Based data loader evolving into HCM Data Loaders. HCM cloud implements Oracle WebCenter Content, a component of Fusion Middleware, to store and secure data files for both inbound and outbound bulk integration patterns. Upload programmatically via Java Code or Web Service API. This post provides an introduction, with working sample code, on how to programmatically export content from Fusion Applications to automate the outbound integration process to other applications in the cloud or on-premise. The data file is uploaded to WebCenter Content Server either using Fusion HCM UI or programmatically in /hcm/dataloader/import account.
Fusion Key Pair provided by you: Public X.509 certificate uploaded via Oracle Support Service Request Fusion Key Pair for Fusion’s X.509 certificate in a Keystore with Keystore password. HCM Extract has an ability to generate an encrypted output file. IdcService is a predefined service node’s attribute that is to be executed, for example, CHECKIN UNIVERSAL, GET SEARCH RESULTS, GET FILE, CHECKOUT BY NAME, etc. File is a file object that is either being uploaded or downloaded. The SOA code provides a sample on how to search for a document in WebCenter Content, extract a file name from the search result, and get the file and save it in your local directory.
If the service is GET FILE, then it will save a copy of the retrieved file in your local machine. The GET FILE service returns a specific rendition of a content item, the latest revision, or the latest released revision. The service name is CHECKIN UNIVERSAL. This post demonstrates how to secure and automate the export and import of data files in WebCenter Content server implemented by Fusion HCM Cloud.
Document management software allows you to store, quickly search, retrieve, track and manage captured data. When integrated with your in line business applications, you establish a competitive edge in customer service by having the ability to quickly locate files without using multiple windows, logins, and softwares. Most document management software have several components including indexing, storing, versioning, metadata, security, and retrieving. Each document is stored with metadata that may include date of creation, modification dates, creator and title. Optical Character Recognition can be used to extract information from the document automatically as metadata or for indexing purposes.
Indexing is used for retrieving and tracking purposes allowing users to retrieve documents without browsing and keep track of them from creation to deletion. You can take the powerful storage and indexing capabilities of the software and integrate them with any in line business application. Search and retrieve your electronic documents from within popular accounting systems, Enterprise resource planning, Oracle, SAP and many others using powerful document management software like OpenText ApplicationXtender. While most of the entire process is done without human intervention, your data is always secure and the software does allow for manual validation in the rare cases text cannot be identified. Access to documents can be granted at document, folder or department level.
As the largest distributor in North America, we distribute, implement and integrate OpenText ApplicationXtender, which is one of the leading document management software applications on the market. Contact MetaSource to learn more about our Document Management Software Applications.