Tara Calishain (ResearchBuzz post) and Mary Ellen Bates (tweet) both mentioned Peekier – a new search engine that promises privacy and previews.
- No data collected – “No personally identifiable information such your IP address, your browser’s user agent or unique IDs are stored or logged on our servers. Search queries―without any other information attached―are temporarily stored for caching, statistics and service improvement purposes. We do not store your search history.”
- Provides previews – this is the peeking part – very enticing. Results were similar to Google’s – more so than to Bing, Advantage is the larger preview – Google’s snippet has become much too short.
- Also, Peekier offers very useful keyword suggestions for narrowing the results – somewhat of a topical exploration – and it may be this feature that I like the best.
Worth trying out. I’m going to.
Google Scholar has competition in two AI-based scholarly search engines: the new Semantic Scholar strong in the sciences, and the relaunched Microsoft Academic with content from many fields of study.
AI science search engines expand their reach “Semantic Scholar triples in size and Microsoft Academic’s relaunch impresses researchers”, by Nicola Jones, Nature (Nov 11)
[Semantic Scholar] A free AI-based scholarly search engine that aims to outdo Google Scholar is expanding its corpus of papers to cover some 10 million research articles in computer science and neuroscience, its creators announced on 11 November. Since its launch last year, it has been joined by several other AI-based academic search engines, most notably a relaunched effort from computing giant Microsoft.
The invaluable Internet Archive has added two search features: faceted filtering – media type, topics and subjects; and full text searching across 9 million text items (but in beta).
Searching Through Everything, Internet Archive blog post (Oct 26)
For years, Google would not reveal how many pages it reached. Then in 2013 Google revealed 30 trillian, today it’s 130 trillion pages: This is reach – ie pages Google knows about – they aren’t indexed in the database.
Google’s search knows about over 130 trillion pages Barry Schwartz, Search Engine Land (Nov 14)
Internet Archive is getting easier to search. Keyword and site combinations have worked in Google (eg site:archive.org your terms ), but now the Archive offers faceted filtering according to media type and topic, and full text – but in beta, and we all know the problems with converting with optical character recognition – tread carefully.
Searching Through Everything, Internet Archive Blog, Oct 26
Every day, we see an average of 50,000 hits on our search pages, as you, our users, search for title, creator, and various other metadata about the items we’ve archived. But you have long asked when you would be able to search not only across all items but within them as well. For years you’ve been able to search within the text of a single book using our BookReader, but never before have you been able to search across and within all 9 million available text items at the Internet Archive in a single shot. Until now.
It’s in beta, but we can do keyword searches on the Internet Archive’s Wayback Machine – the best (and often only) way to see a web page as it used to be.
Beta Wayback Machine – Now with Site Search!, Internet Archive Blogs (Oct 24)
With this new beta search service, users will now be able to find the home pages of over 361 Million websites preserved in the Wayback Machine just by typing in keywords that describe these sites (e.g. “new york times”).
This doesn’t sound good for the information professional working at a desktop – Google will have two indexes: one for mobile users for quick response, and a desktop version that will be less current.
Within months, Google to divide its index, giving mobile users better & fresher content Barry Schwartz, Search Engine Land (Oct 13)
“Google is going to create a separate mobile index within months, one that will be the main or “primary” index that the search engine uses to respond to queries. A separate desktop index will be maintained, one that will not be as up-to-date as the mobile index.”
Maybe it would be a good idea to break the habit of searching Google all the time.
Helen Brown gives us a good reason to use a search engine that does not track searches or pitch ads – Because it’s none of their business (Sept 8). Of importance to the professional researcher, the filtering done by search and ranking algorithms may cloud results. Solution – use tools that don’t track but do have a broad reach. She offers a comparison of 13 search engines that indicates for an engine whether there are ads, personalized results, or tracking.
Some to particularly note are:
Disconnect Search – web version of browser add-on. Operates through a proxy server to direct your queries to the search engine and the results back to you. See short video about the browser add-on. Also – more about Disconnect in Information Week — Disconnect Search: Google In Private (Mar 2014)
Duckduckgo – Bing-based but more of a meta search engine. Does not log any personally identifiable information.
Startpage – does not store personal history. But even more valuable is that search results can be viewed through the IxQuick Proxy. See StartPage Proxy Explained.
Oscobo in the UK claims to store no personal data. I suspect the web search results come from the Bing database. It also searches Twitter.
I have also used Carrot2, a meta-search engine developed in Europe (mostly Poland) that clusters search results by topic. Its web search uses Google and Bing. Carrot2 doesn’t promise privacy but as an intermediary it blocks personalization.
But for full privacy you may want to consider access through a virtual private network. Paul Gil at About.com explains why — 10 Reasons to Use a VPN for Private Web Browsing
Desktop search has been declining for a couple of years – now down to less than 50% of searches – where Google still dominates with 63% of market share in the US and Bing, Yahoo, and Ask still hang on according to ComScore. Mobile search is a different story – Google is up to 94% in the US.
Billions served: PC search is down but query volume is way up for Google, Greg Sterling, Search Engine Land (Aug 31)
These search tricks at DuckDuckGo are a bit esoteric but maybe there are a couple that will interest. Takes some effort to practice and remember.
8 Search Tricks That Work on DuckDuckGo but Not on Google, Make Use Of (Jul 28)