suggested this on June 06, 2011 06:16
I would like to be able to search the content of an issue including searching for a specific contributor.
On behalf of our faculty and school, I too am keenly interested in a keyword search box. I'm sure other educational institutions would be interested in this too. There was a custom Google search there before, but it didn't work!
I would like to be able to cull by topics. For instance, I could say to my teachers: "I've collected lots of articles on iPads that I think you'd be interested in. Do a search and they'll all come up."
Please consider installing a search that works. As in Google Apps, the search box keeps everything accessible. There really is no organization without it, thereby limiting its usefulness for researchers.
I use TwimeMachine to get my own account tweet history, but that doesn't do hashtags and lists, and TwimeMachine too is not searchable.
Please, please, please install a search box.
Thanks for your serious consideration of this request.
I would like to use search within an issue in order to generate "index-links" to specific "topics", eg. via bit.ly, though within paper.li itself would be even better.
For example, I use one of my Twitter accounts, salt_mine, to share links to free resources for Speech & Language Therapists (as well as for more general use in the same area of interest). I tag these tweets as #SLTFreeCPD, #SLTFreeStuff, as well as using "topic tags", eg. #Voice, #Stammer, and also "theme tags", eg. #EBP (Evidence Based Practice), #SLTResearch
I would like to be able to search my original salt_mine paper.li, for a tag or tags in order to generate a list of relevant items and then "index" the searches, eg. link to all items tagged #SLTFreeCPD or #EBP + #Autism
I have now created a new multi-source paper.li for the tags #SLTFreeCPD and #SLTFreeStuff but will have to find and re-post all the previous posts with these tags in order for them to appear in the new paper.li
Also, where there are "Twitter Groups" posting similar content using the same tags, eg. #slpeeps (Speech & Language Pathologists) this "Search and index" method would be really useful for curating related content from many users, eg. there is already an #slpeeps paper.li created by another user and I would like to be able to search it to find, for example, items relating to Parkinsons or #Parkinsons.
I know that there are other products that can be used to achieve these ends and realise that they can be achieved using paper.li, ie. creating multiple paper.li issues based on multiple-source inclusion criteria. However, these methods only capture tweets from the time of creation a new paper.li
The added functionality of "search within issue" would allow the generation of "indexed content" that is already archived via paper.li
I hope that all makes sense :-)
Climate Spin, thanks. Good example for us. I am going to pass this forward.
Here's an example: I saw a tweet today about an article in Science on John Mashey's defense of climate science. Several people I follow tweeted it. I want to search the content ("John Mashey") to see if my paper picked it up. I don't know which contributor or source it will be under and the topic key isn't helpful. I found that it was indeed included under @desmogblog who tweeted a link to their site, not sciencemag.org. But the only way to find that was patiently click through each page of links under the "all articles" listing and look for it.
Hi. Liz, Climate Spin, I would like to hear more about what you both are looking for in terms of searching on Paper.lis. We had this functionality and it was not widely used, so we discontinued it. I am always interested in the business cases for it though.
It is possible to see all article and sort by contributor, source or topic area. You can view them by clicking on see all articles at the top right of the navigation.
This would be sooooooo usefu! I would like to search the whole archive for a paper.li Using Google to search the paper.li site for a search term is no answer as it turns up only a couple of results from the many that I know it should find.
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